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Paper Citation Record · LEDGER

Chain-of-Verification Reduces Hallucination in Large Language Models

As of 5 August 2026, this Paper Citation Record lists 100 of 264 outbound references and 46 inbound Pith citation observations for arXiv:2309.11495.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2309.11495 v2

Coverage vector

measured 100 of 264 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-18T01:06:49.811982Z

measured 146 of 146 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 46 of 46 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:38:42.338969Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

100 of 264 outbound references displayed

  • verified exact16
  • verified fuzzy60
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch20

External citation measurements

40
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation dc803108-2d8f-46dd-aba7-1080d45f39d7 · outbound

This paper cites Truth-o-meter: Collaborating with llm in fighting its hallucinations.

Chain-of-Verification Reduces Hallucination in Large Language Models Truth-o-meter: Collaborating with llm in fighting its hallucinations

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:12:16.303061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:08953cd285c5c111feba07ae7f564c0011c9d5f74f073f99ccf4ea5661cbfb9d

Observation c3c442e1-9c42-489d-b2cb-f51aa5c858fd · outbound

This paper cites Rarr: Researching and revising what language models say, using language models.

Chain-of-Verification Reduces Hallucination in Large Language Models Rarr: Researching and revising what language models say, using language models

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:06:50.504770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:e4502cb298a4c866a75b7cf6fdc067b3f766923bf63a87001d6f78c883c2743f

Observation 0f0ba7b1-4d4c-46f0-aaba-bbb8bd647b69 · outbound

This paper cites Survey of hallucination in natural language generation.

Chain-of-Verification Reduces Hallucination in Large Language Models Survey of hallucination in natural language generation

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:06:50.508655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:9dd8e4736cda33bbd1eabeeab1197fc1fc204a68f97d1d129c34dd5459eefe7b

Observation c5759311-2379-4167-94e6-876adc341bf4 · outbound

This paper cites Multispanqa: A dataset for multi-span question answering.

Chain-of-Verification Reduces Hallucination in Large Language Models Multispanqa: A dataset for multi-span question answering

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:06:50.512398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:7748d0406ad38e6a41be3639f52ef2acab26eaf3f7bf20fc1804732d3c871ca9

Observation f1c440f8-d4ab-4441-86d6-1c75d6b94e94 · outbound

This paper cites Reducing conversational agents’ overconfidence through linguistic calibration.

Chain-of-Verification Reduces Hallucination in Large Language Models Reducing conversational agents’ overconfidence through linguistic calibration

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:06:50.516087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:8a841e166f54a5c5b6febf663b2eb602188a1830cab2656d58443665b70b4329

Observation 725a6e6d-9368-48bc-82a0-6ca84216d220 · outbound

This paper cites Training language models to follow instructions with human feedback.

Chain-of-Verification Reduces Hallucination in Large Language Models Training language models to follow instructions with human feedback

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:06:50.519133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:206e16d19fbeec09fa4f1f4674c40881cc34981153973ba953fd6e23bc28e1aa

Observation b631111a-7c93-4c65-8917-e796cf19c2d2 · outbound

This paper cites Language models are unsupervised multitask learners.

Chain-of-Verification Reduces Hallucination in Large Language Models Language models are unsupervised multitask learners

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:06:50.522931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:4c84e02f2a12b942364585943527a667cfa7cf2206648db9def8cb08cec9558b

Observation adf0e1cd-e2f8-4a7e-8a94-005798be542d · outbound

This paper cites Measuring attribution in natural language generation models.

Chain-of-Verification Reduces Hallucination in Large Language Models Measuring attribution in natural language generation models

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:06:50.525636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:5c62543b774f09502f072e10190449bfb494fe4f1673bbbaef0e77288ff695c7

Observation 425f373a-5e5b-4ce4-b136-f758c1956f37 · outbound

This paper cites Contrastive learning reduces hallucination in conversations.

Chain-of-Verification Reduces Hallucination in Large Language Models Contrastive learning reduces hallucination in conversations

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:06:50.528981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:aa406eccd6c838ae3e868649978df89721cbc96f935e166bea838645047020e0

Observation 17fd1e27-08e1-49e8-87c4-f0f8f5f7a010 · outbound

This paper cites Llama 2: Open foundation and fine-tuned chat models, 2023 b.

Chain-of-Verification Reduces Hallucination in Large Language Models Llama 2: Open foundation and fine-tuned chat models, 2023 b

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:06:50.532173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:0d67af010f07d9e5626c606013454828e73c9189784cb75573fe36517a18652d

Observation 951a4dd9-a34d-449b-88cb-48bf7ac5af3f · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

Chain-of-Verification Reduces Hallucination in Large Language Models Chain-of-thought prompting elicits reasoning in large language models

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:06:50.535563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:b458be8a8b545ee31eba75bb223339e70a52de1b06b0d488d8640a32213e4204

Observation 8555f39c-05ad-424a-83cd-2fb5f4791031 · outbound

This paper cites Decoupled Weight Decay Regularization.

Chain-of-Verification Reduces Hallucination in Large Language Models Decoupled Weight Decay Regularization

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-05-18T01:06:50.328154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:aeaa14355b55a61511b3187d099957d26a962817e593786c1c124640030a13b5

Observation a1c58cad-ef9a-480a-8728-ee1522c3bf85 · outbound

This paper cites 2022 , eprint=.

Chain-of-Verification Reduces Hallucination in Large Language Models 2022 , eprint=

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:06:50.538516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:7b0f399855300d4f2a5cdb6fafe1579f8b9c6128c86d25475b04c2590e0004d2

Observation fa7da142-f53e-4d00-92b8-8ea112509cdc · outbound

This paper cites Conference on Empirical Methods in Natural Language Processing , year=.

Chain-of-Verification Reduces Hallucination in Large Language Models Conference on Empirical Methods in Natural Language Processing , year=

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:06:50.541741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:e6db593d7f00fa2c9b7a8e6ad9a96a240bc0132cb78510aed4baf6536dad676e

Observation 989c4031-3b32-4803-a561-67ae2d902623 · outbound

This paper cites 2022 , eprint=.

Chain-of-Verification Reduces Hallucination in Large Language Models 2022 , eprint=

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:06:50.544751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:f174afc6f4fe0ef3aad1e8352585d1f0f7821a808ecce7c35ad39741322df0aa

Observation 0ff2e446-d5f2-4dcb-87d5-cbf9c5e00bb1 · outbound

This paper cites 2023 , eprint=.

Chain-of-Verification Reduces Hallucination in Large Language Models 2023 , eprint=

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:06:50.548267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:1f8451e4ac3d892615eb9be7bfaa144279a4545bb4ef5ee8f547cecdbb58567d

Observation 2b9f9dec-a390-4f81-b2f2-981c5511d0cd · outbound

This paper cites 2023 , eprint=.

Chain-of-Verification Reduces Hallucination in Large Language Models 2023 , eprint=

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:06:50.552576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:84056bec86c74b5a22917627a062a8984ad64e6e413e4dddfb918f9526e7f8dc

Observation fac2a282-a324-40b5-9cc5-2e1e0ea3747e · outbound

This paper cites 2020 , eprint=.

Chain-of-Verification Reduces Hallucination in Large Language Models 2020 , eprint=

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:06:50.555622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:1e5a7922a701d3f6af4c60776242c8457f7bdbb85b7387dc8861bf2e0a06116a

Observation 172163fd-0e12-4c67-a9b8-8a1393aed631 · outbound

This paper cites 2021 , eprint=.

Chain-of-Verification Reduces Hallucination in Large Language Models 2021 , eprint=

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:06:50.558965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:c198ecd4d7a76bc374619b41f6b62d79c5a8f93a639be5b3cfc9ae918926a95c

Observation 34130494-a8cd-4db5-a159-f927e44fbd52 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Chain-of-Verification Reduces Hallucination in Large Language Models Training Verifiers to Solve Math Word Problems

Reference 56

Resolution
metadata mismatch
local_arxiv, observed 2026-05-18T01:06:50.386287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:d965e11cec8dc3fb40e82adc84afffbd47c90695a528849bf3fb07846ff79af2

Observation 89a52135-27cf-4014-abea-efa4bc4bee03 · outbound

This paper cites Thirty-Fourth AAAI Conference on Artificial Intelligence , year =.

Chain-of-Verification Reduces Hallucination in Large Language Models Thirty-Fourth AAAI Conference on Artificial Intelligence , year =

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:06:50.562737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:0ebb84aac2f63d0e5ae2f5a9b85c7c70be7fda93533da35bdac2284e6c488eae

Observation eae376a5-2307-49c5-8dd8-654f1afb12b0 · outbound

This paper cites Conference on Empirical Methods in Natural Language Processing , year=.

Chain-of-Verification Reduces Hallucination in Large Language Models Conference on Empirical Methods in Natural Language Processing , year=

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:06:50.566388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:24cca4ed239953b0954c4fdeee8bc71855fb2c91cce3adc69952b8dc7d5846db

Observation c9fd2cb4-2b74-428e-9b52-648df86bf01f · outbound

This paper cites doi: 10.18653/v1/n19-1421.

Chain-of-Verification Reduces Hallucination in Large Language Models doi: 10.18653/v1/n19-1421

Reference 59

Resolution
metadata mismatch
doi, observed 2026-05-18T01:06:50.136148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:e17451f23bcd6e91a3907249683ff28100c355cb99bf6b80b0aeee1653f86ea0

Observation 41e9ae81-85e3-496d-84f4-8839edfbfbef · outbound

This paper cites 2023 , eprint=.

Chain-of-Verification Reduces Hallucination in Large Language Models 2023 , eprint=

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:06:50.569343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:d15c27afc769632b4f1166ba856284da61502637ba662f820679b64fef5803b2

Observation fbd192d9-706f-470f-ba32-5c0208d8a25c · outbound

This paper cites 2023 , eprint=.

Chain-of-Verification Reduces Hallucination in Large Language Models 2023 , eprint=

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:06:50.572352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:ddb65f913ba9b85303cf139b84aaeffee34f79d2a437817b03c2f24d0b1753ad

Observation 5fbd60da-735b-4d73-84bf-b026baed876b · outbound

This paper cites 2022 , url=.

Chain-of-Verification Reduces Hallucination in Large Language Models 2022 , url=

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:06:50.575351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:5da0f8b7e76d40194b1f06efc00a7b417ddf3157c783a017f0ec5f6997473b77

Observation e5045010-237a-45c6-bd3c-634fe142aca3 · outbound

This paper cites 2023 , eprint=.

Chain-of-Verification Reduces Hallucination in Large Language Models 2023 , eprint=

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:06:50.578371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:bdca2fdfaebd08c288971651898b8aba6acbff64a82e60e01c0276f17d4e30d4

Observation 6c69363e-eaca-4f2a-baa7-c9fb243c5cf0 · outbound

This paper cites Proceedings of the international AAAI conference on web and social media , volume=.

Chain-of-Verification Reduces Hallucination in Large Language Models Proceedings of the international AAAI conference on web and social media , volume=

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:06:50.581409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:0a07d8f65fdefe5cd8178673859eda388d8427737964269986ecace1acfa2030

Observation c9b414d2-cb43-4c5e-90d4-f5146a83d14a · outbound

This paper cites 2023 , eprint=.

Chain-of-Verification Reduces Hallucination in Large Language Models 2023 , eprint=

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:06:50.584137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:8786aee55eaec8783e3e59dc126d3cfcba8c54f3ea4bc99af24c48197d614e85

Observation 28b28bcc-2bc3-4ba4-8235-ffa663505b30 · outbound

This paper cites 2023 , howpublished =.

Chain-of-Verification Reduces Hallucination in Large Language Models 2023 , howpublished =

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:06:50.586891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:f91cf4ea4278fe9b9e18aef72fac48196ef37ad8cb337f79c701bc1581cac2f4

Observation e23d99fb-a75d-48d2-a910-9743216b920e · outbound

This paper cites 2022 , eprint=.

Chain-of-Verification Reduces Hallucination in Large Language Models 2022 , eprint=

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:06:50.589590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:4880fa52efa0415481601b73e723e7507f5f0d7586cdddac616cd15f61932176

Observation f1d8f7e3-694e-4f2c-9882-6e8d0721394a · outbound

This paper cites 2023 , eprint=.

Chain-of-Verification Reduces Hallucination in Large Language Models 2023 , eprint=

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:06:50.594885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:9eb945fd1ceba17575295deccee37820e76a04c76a9782e46ef480b11d976b0b

Observation 1369a16d-0e7e-46bb-8e74-037cc7096e78 · outbound

This paper cites The Eleventh International Conference on Learning Representations , year=.

Chain-of-Verification Reduces Hallucination in Large Language Models The Eleventh International Conference on Learning Representations , year=

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:06:50.598693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:6845872b4312b9f252c3de6bd166489d09f6305f7ed5d7944f035c36f303b7aa

Observation ce8899d9-f213-4e17-9aa5-4d9563bf9b88 · outbound

This paper cites 2022 , eprint=.

Chain-of-Verification Reduces Hallucination in Large Language Models 2022 , eprint=

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:06:50.601762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:a4c858639b9595f3d0945587c393806f95a4625780b4d027ea5b6f72a91ce56e

Observation f005e6e0-a746-45fc-a851-09ce63664a17 · outbound

This paper cites 2023 , eprint=.

Chain-of-Verification Reduces Hallucination in Large Language Models 2023 , eprint=

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:06:50.604917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:e6824edbc534ecf784f907929e81310b7ce9f8dc737d6f0053bcc002190f694e

Observation b5bf5945-88cd-46b9-8505-8bf0fb5239cd · outbound

This paper cites 2023 , eprint=.

Chain-of-Verification Reduces Hallucination in Large Language Models 2023 , eprint=

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:06:50.607752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:9bb07a40ddb52ee58fe2545cba852e6f7f47aeb5bfa8ea3b0fc206fd3f9ce036

Observation 5ba8674d-eada-4c00-9a35-6a9abb9f6e4c · outbound

This paper cites Hashimoto , title =.

Chain-of-Verification Reduces Hallucination in Large Language Models Hashimoto , title =

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:06:50.610648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:14a7769ffa3e2bbaca816cff5bf6110554ba4d9dc3f5d6dc5ea31df54b1960c4

Observation 4c3959b5-ada4-496d-89cf-125f845db12c · outbound

This paper cites On Improving Summarization Factual Consistency from Natural Language Feedback.

Chain-of-Verification Reduces Hallucination in Large Language Models On Improving Summarization Factual Consistency from Natural Language Feedback

Reference 74

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:06:50.483170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:1c576bddd999de1a5ec8e53278cff1928fa926006fe2f1c710a8ddc02f70c70e

Observation 9ea5a9b9-d1e4-4d79-a8ce-6fd2b99f309c · outbound

This paper cites EMNLP , year=.

Chain-of-Verification Reduces Hallucination in Large Language Models EMNLP , year=

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:06:50.613766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:ec33bd8b3bde4b087f72ca9ced00d7e0e9a35ea137f30e6515cc43c09c26af88

Observation fb393814-f987-450e-90b7-e88fc077fc5c · outbound

This paper cites ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Language.

Chain-of-Verification Reduces Hallucination in Large Language Models ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Language

Reference 76

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T01:06:50.249009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:f9775061468faa00ec10594ca4f7a8b4a68d2cb00bed4e8d0bd27dbde0258572

Observation c999449d-fcd9-487f-86d0-d28e42677845 · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

Chain-of-Verification Reduces Hallucination in Large Language Models Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:06:50.617208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:76fb1f8513340684203ae2b3c392bfeedb066e9f7cf5cfea007614d21a867118

Observation 16be05f8-772c-46dc-971c-96f70b6e5b98 · outbound

This paper cites Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning.

Chain-of-Verification Reduces Hallucination in Large Language Models Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning

Reference 78

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:06:50.349451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:7efcca16537e84ad6754e2d1a1b84a1d799cc855b841e24f7c8c0ad930d28e8a

Observation 020921ab-d4fd-45a2-9956-ce986f10f1a5 · outbound

This paper cites an unresolved cited work.

Chain-of-Verification Reduces Hallucination in Large Language Models Unresolved cited work

Reference 79

Resolution
unresolved
raw_fallback, observed 2026-05-18T01:06:50.620358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:0f47e0f740bc803da00a9119541ffc98b91f4f6b046ed0cd67d1eed9872f8a72

Observation e26b6ac0-2aa0-4b27-a503-e4ea03e9507e · outbound

This paper cites Adversarial.

Chain-of-Verification Reduces Hallucination in Large Language Models Adversarial

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:06:50.623364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:0f76d0f032990373c1f3ad304ab5a6d65da9fe8c0285d53e3df44f7ce665e5ac

Observation 1a2e4d47-88d5-487f-9e0e-d61623893a5b · outbound

This paper cites News summarization and evaluation in the era of.

Chain-of-Verification Reduces Hallucination in Large Language Models News summarization and evaluation in the era of

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:06:50.626521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:60fd0c124690b8bef5d289d47e9731e869a8fade2219141c59b415fab9b45f96

Observation c757837e-37c9-4528-aad7-c502763a7650 · outbound

This paper cites an unresolved cited work.

Chain-of-Verification Reduces Hallucination in Large Language Models Unresolved cited work

Reference 82

Resolution
unresolved
raw_fallback, observed 2026-05-18T01:06:50.629204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:9a35860377282c5f9382c25c0fc33d52b8322e2e29ebe7c28ebc992cdc004c81

Observation d8cc6414-3658-4a92-bb93-89c1961b3106 · outbound

This paper cites SocialIQA: Commonsense Reasoning about Social Interactions.

Chain-of-Verification Reduces Hallucination in Large Language Models SocialIQA: Commonsense Reasoning about Social Interactions

Reference 83

Resolution
metadata mismatch
local_arxiv, observed 2026-05-18T01:06:50.276662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:f4ce5a8f4b538db1c30f63176503ad454037578a94085cdf50d590a10a3f2a12

Observation 26cfae0c-229d-444e-b5f1-ac05a22836e0 · outbound

This paper cites BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions.

Chain-of-Verification Reduces Hallucination in Large Language Models BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

Reference 84

Resolution
metadata mismatch
local_arxiv, observed 2026-05-18T01:06:50.291253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:7418a9029ae74b53d26a9774b9222dc7708f9a3cf96d8ecfe31ce9f6ea7a159d

Observation 96d02570-fee4-40c6-a2b7-5efcd13432fa · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Chain-of-Verification Reduces Hallucination in Large Language Models Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 85

Resolution
metadata mismatch
local_arxiv, observed 2026-05-18T01:06:50.309114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:7b764414d09588095a149b0972fedf9a1c65c7c1679060889f973ebfc4d314b0

Observation 5e5c1015-d7e7-45cb-b199-c891a63f298c · outbound

This paper cites RACE: Large-scale ReAding Comprehension Dataset From Examinations.

Chain-of-Verification Reduces Hallucination in Large Language Models RACE: Large-scale ReAding Comprehension Dataset From Examinations

Reference 86

Resolution
metadata mismatch
local_arxiv, observed 2026-05-18T01:06:50.321282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:9f5c6101f008044f8211d21fe43f5ec67f01a4b5e078bdc32e8420cbab24a4c8

Observation 12c6b80d-0ca6-4a59-9934-f8d2275f9ddf · outbound

This paper cites HellaSwag: Can a Machine Really Finish Your Sentence?.

Chain-of-Verification Reduces Hallucination in Large Language Models HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 87

Resolution
metadata mismatch
local_arxiv, observed 2026-05-18T01:06:50.324700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:a3f63bcab3b220ed51124dbc1f7f8ebc0b229d01095e0f1615d06ad575cd7486

Observation 62565615-e5da-47fd-9c26-44ccd152bf5c · outbound

This paper cites Communications of the ACM , volume=.

Chain-of-Verification Reduces Hallucination in Large Language Models Communications of the ACM , volume=

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:06:50.632695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:c0237ac0ecaeadcf0e7f04723dd702a24f12c804d4c94cc3e774361c4358306e

Observation ce71bf27-a0e9-4a87-a551-62bde9dd61db · outbound

This paper cites TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension.

Chain-of-Verification Reduces Hallucination in Large Language Models TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension

Reference 89

Resolution
metadata mismatch
local_arxiv, observed 2026-05-18T01:06:50.340504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:5e15f65cc6565d9b27473c08b90e9ef4140c754ae7d0e3858a68b21f61a908af

Observation 5c2c2a2b-40a7-4a62-b698-771df9311b0e · outbound

This paper cites Transactions of the Association for Computational Linguistics , volume=.

Chain-of-Verification Reduces Hallucination in Large Language Models Transactions of the Association for Computational Linguistics , volume=

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:06:50.636859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:515bd3324465f56a07f29728080192bf2af28f9b1754d7a0d55c30f78288aa8d

Observation 3908b0da-f4fa-407a-9828-c5fb1a92473e · outbound

This paper cites an unresolved cited work.

Chain-of-Verification Reduces Hallucination in Large Language Models Unresolved cited work

Reference 91

Resolution
unresolved
raw_fallback, observed 2026-05-18T01:06:50.640449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:d0e5a59287893cff06fae8a97de0a88794a118825193b7fd5521f7aee2771f5e

Observation 1c92d103-afe7-40c6-9443-8016d59add23 · outbound

This paper cites Can we trust the evaluation on ChatGPT?.

Chain-of-Verification Reduces Hallucination in Large Language Models Can we trust the evaluation on ChatGPT?

Reference 92

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:06:50.474295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:9c85c3a7a301bfb4dfe3eab2acb2c8e5746b902dec06ab44280af43841bbdcef

Observation c7064123-fef0-4eb3-9bcb-cf4aa7cf8c3a · outbound

This paper cites and Stoica, Ion and Xing, Eric P.

Chain-of-Verification Reduces Hallucination in Large Language Models and Stoica, Ion and Xing, Eric P

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:06:50.643959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:92c74017b7fb01d9e496963c2286696009cd690480ac44695c5093a012f7b7ec

Observation fab0e9cf-3f75-49b6-b91e-d67b2d7842ef · outbound

This paper cites 2023 , eprint=.

Chain-of-Verification Reduces Hallucination in Large Language Models 2023 , eprint=

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:06:50.647266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:cd349c67839b78f6483ffa42306f723c0a5f3499e299282807a7e147d63d90ca

Observation 09d935f6-b970-43a6-8da3-25eab3643f36 · outbound

This paper cites 2023 , eprint=.

Chain-of-Verification Reduces Hallucination in Large Language Models 2023 , eprint=

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:06:50.650752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:9967aca6ee53ba2345f4b99f47dea1ea081267ade9a3c45e627bcb298541a635

Observation 9d77a738-0942-4cf0-84f5-8e39716251bc · outbound

This paper cites GitHub repository , howpublished =.

Chain-of-Verification Reduces Hallucination in Large Language Models GitHub repository , howpublished =

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:06:50.654363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:b61a2267e6426465350700e03c07be5cd50f354431aa0d6d460127baac0120de

Observation ab3dd332-6b71-42cb-817e-d837df4d0732 · outbound

This paper cites Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs , abstractNote=.

Chain-of-Verification Reduces Hallucination in Large Language Models Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs , abstractNote=

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:06:50.658306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:02851d5d1a8993c0b3897a467704bd4eee615036f6aae42dc7faaa179d3dbff5

Observation ba87a10b-2109-4ef4-a16c-6053a6a8083a · outbound

This paper cites 2022 , eprint=.

Chain-of-Verification Reduces Hallucination in Large Language Models 2022 , eprint=

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:06:50.661862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:2f63fe39e608c0e1d4dd86aaedfa54123741f6f609445c60615a11714a160050

Observation 836e72d8-b3b6-4c3c-a714-981b69033a63 · outbound

This paper cites 2022 , eprint=.

Chain-of-Verification Reduces Hallucination in Large Language Models 2022 , eprint=

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:06:50.665090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:b15cf3d3e27665e3c07e3f436eb840245e6c8f3ecad193920f51650781fc373c

Observation a4dd63a6-9332-4b68-8f25-a35aa8440a50 · outbound

This paper cites 2023 , eprint=.

Chain-of-Verification Reduces Hallucination in Large Language Models 2023 , eprint=

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:06:50.668999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:92ee727396597548aea1565ac10ecd2d4a3124dbe117461e29f9d850ffa0c636

Observation 54927930-1c41-4191-a9be-bde5d6c18d44 · outbound

This paper cites 2023 , eprint=.

Chain-of-Verification Reduces Hallucination in Large Language Models 2023 , eprint=

Reference 101

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:06:50.672435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:5e2cb1233263b77e8f26b0e0af8f4f3b0f80407dcd16c3883acf7e07c283552b

Observation c8a7a48c-2318-48e5-9bca-8b4ffcd22c11 · outbound

This paper cites Distilling Reasoning Capabilities into Smaller Language Models.

Chain-of-Verification Reduces Hallucination in Large Language Models Distilling Reasoning Capabilities into Smaller Language Models

Reference 102

Resolution
verified exact
doi, observed 2026-05-18T01:06:50.003023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:937a4c1cc463a9cd3db35adc6f8f00c5954d8047ace41c11a267115bda83ebbe

Observation c79da33c-de33-4881-ac9d-bfa59662c674 · outbound

This paper cites 2023 , eprint=.

Chain-of-Verification Reduces Hallucination in Large Language Models 2023 , eprint=

Reference 103

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:06:50.675755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:eb7b2198884fe980d40a350bf3cb86a045f98a645f2ce183198615bb61b360b9

Observation b9353368-1352-4fc3-ae41-7d8371499a42 · outbound

This paper cites Automatic Generation of Socratic Subquestions for Teaching Math Word Problems.

Chain-of-Verification Reduces Hallucination in Large Language Models Automatic Generation of Socratic Subquestions for Teaching Math Word Problems

Reference 104

Resolution
verified exact
doi, observed 2026-05-18T01:06:50.016857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:b0f7cee2d0e076166c348e08439749153d17d8cc5380044f74c2f74ef3075704

Observation 27efedfa-e4f9-400e-865c-b944bfda53b3 · outbound

This paper cites 2023 , eprint=.

Chain-of-Verification Reduces Hallucination in Large Language Models 2023 , eprint=

Reference 105

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:06:50.679249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:c661a1ea5742af0fa492da055ae4c5386682eece55ef043a3d0bdfb38c656dde

Observation b9f9cd1d-e69e-42ac-9b6c-6b559fda4648 · outbound

This paper cites FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios.

Chain-of-Verification Reduces Hallucination in Large Language Models FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

Reference 106

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:06:50.358022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:640319b3d1810c6886d2575687df4d85347e17a14f49692de5602b2d0e913f05

Observation 36229523-cdfc-4fcb-a562-f2e2cc8b3aca · outbound

This paper cites Do Language Models Know When They're Hallucinating References?.

Chain-of-Verification Reduces Hallucination in Large Language Models Do Language Models Know When They're Hallucinating References?

Reference 107

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:06:50.366923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:0afa56bad6c3f905d62bac720a2a200093d7efc4b795350715c5c415c353ba30

Observation d33c076c-564a-47a8-8a74-47a5e84a28ce · outbound

This paper cites Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback.

Chain-of-Verification Reduces Hallucination in Large Language Models Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback

Reference 108

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metadata mismatch
local_arxiv, observed 2026-05-18T01:06:50.372507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:3329bacd902a0894e777d182d8ea2092fe0e2cfe5b7695c53b94f5a811d6c6a0

Observation 17694d0d-5159-4050-9883-4d9331d3da1b · outbound

This paper cites Active Retrieval Augmented Generation.

Chain-of-Verification Reduces Hallucination in Large Language Models Active Retrieval Augmented Generation

Reference 109

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:06:50.377207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:d09144c9da01647e446ce6dcb8e92bb5fb012e3e2c2a029ca2bd535f103295f9

Observation 8e9ee654-4e68-46e1-b955-6d980a3c2231 · outbound

This paper cites Transactions of the Association for Computational Linguistics , volume=.

Chain-of-Verification Reduces Hallucination in Large Language Models Transactions of the Association for Computational Linguistics , volume=

Reference 110

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:06:50.682888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:86fb1eac3e24f5af693248acaac836412d9288869e8172619b532d183a918e01

Observation d6b58455-07b6-41e0-9ce1-0e3b620de80b · outbound

This paper cites Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback.

Chain-of-Verification Reduces Hallucination in Large Language Models Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback

Reference 111

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:06:50.391261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:3c3bbe7515643240230f67c1e904199c0a3352ec39b02b8ac466bbeb6632670c

Observation cfbab035-ce81-49c1-b384-6eb72c13d3ca · outbound

This paper cites SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models.

Chain-of-Verification Reduces Hallucination in Large Language Models SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models

Reference 112

Resolution
metadata mismatch
local_arxiv, observed 2026-05-18T01:06:50.400409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:8a965df90cc0c70d4c5513c893622b5e3fd4d17e38679237940cc2f06da1f15d

Observation 840b5273-490c-4b8d-accf-2ec1deab16a4 · outbound

This paper cites 2023 , publisher=.

Chain-of-Verification Reduces Hallucination in Large Language Models 2023 , publisher=

Reference 113

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:06:50.686034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:87c014e5d1fa600ab0ccfa3b2335ebe6e3b488f578d9c518e76b35744d60a18b

Observation addbfffe-70cb-436c-bb94-2400e8ecc0eb · outbound

This paper cites Computational Linguistics , pages=.

Chain-of-Verification Reduces Hallucination in Large Language Models Computational Linguistics , pages=

Reference 114

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:06:50.689534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:31648bc11a03273c2f308476f2fae19fb912771dd1d272ead86ea733511cc143

Observation fdde8df5-7a3c-4133-ac82-faccc90ba7f2 · outbound

This paper cites A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation.

Chain-of-Verification Reduces Hallucination in Large Language Models A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation

Reference 115

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:06:50.493171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:2bbfefe5a47dc1da5646f13d8ac98d2a22fba563318a0c2993b517f31f82781c

Observation 0b87e440-1cb6-43c6-9c52-2e5a364ba272 · outbound

This paper cites Fine-Grained Human Feedback Gives Better Rewards for Language Model Training.

Chain-of-Verification Reduces Hallucination in Large Language Models Fine-Grained Human Feedback Gives Better Rewards for Language Model Training

Reference 116

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T01:06:50.497640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:1848f4b78b8208975119dc59daa37b41ae4055fea45692dbbe9ab31d50d6c54d

Observation 804599b7-79b0-4f30-ae69-2e46d41181b4 · outbound

This paper cites Improving Factuality of Abstractive Summarization via Contrastive Reward Learning.

Chain-of-Verification Reduces Hallucination in Large Language Models Improving Factuality of Abstractive Summarization via Contrastive Reward Learning

Reference 117

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:06:50.202525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:e152b5cc9d8c5e75e24ca3720cb69fd9223c4ee5151a78e2d3f60e2fbf2bcc51

Observation bd63debb-2e2b-4947-8156-bea3dc10c11f · outbound

This paper cites Inference-Time Intervention: Eliciting Truthful Answers from a Language Model.

Chain-of-Verification Reduces Hallucination in Large Language Models Inference-Time Intervention: Eliciting Truthful Answers from a Language Model

Reference 118

Resolution
metadata mismatch
local_arxiv, observed 2026-05-18T01:06:50.218851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:5bc6d4657efa79e67beccb043c39f7a1626291f3ee5f73356f2daabb7f2730e0

Observation af71ec64-599d-49d4-80bc-f97e7411c296 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

Chain-of-Verification Reduces Hallucination in Large Language Models Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 119

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:06:50.692873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:cc34ed1a3538196e94db7f7fde7b979392dff265dffba29b62ff2b1b53d07b7e

Observation 76a40ae2-9ca3-422f-9a35-611d089d3818 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Chain-of-Verification Reduces Hallucination in Large Language Models Advances in Neural Information Processing Systems , volume=

Reference 120

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:06:50.696714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:bb2fdab411afe280744b8f8e05d5e3748dbf24810deab2618f82d81352c532fc

Observation 21264c7f-8e01-42af-8f34-3dd5905d68f7 · outbound

This paper cites Retrieval Augmentation Reduces Hallucination in Conversation.

Chain-of-Verification Reduces Hallucination in Large Language Models Retrieval Augmentation Reduces Hallucination in Conversation

Reference 121

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T01:06:50.254331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:4896d0a7dc5c5ec0babde0b0b0bf2d064227f260e2a7b31335a2af2255518127

Observation 9c54df4c-04be-4b85-ac2a-cf2a2adce5db · outbound

This paper cites Teaching language models to support answers with verified quotes.

Chain-of-Verification Reduces Hallucination in Large Language Models Teaching language models to support answers with verified quotes

Reference 122

Resolution
metadata mismatch
local_arxiv, observed 2026-05-18T01:06:50.260491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:21ac8e76fb19f2c407dd8c4457c11314f8ab5b11bf877c3a3cbf6b9c918f6317

Observation 8c4fd8c0-2f83-48d0-b9ee-5c4bd497823e · outbound

This paper cites Recipes for building an open-domain chatbot.

Chain-of-Verification Reduces Hallucination in Large Language Models Recipes for building an open-domain chatbot

Reference 123

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T01:06:50.265851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:ec4d91ce97f36eaf23204cc2f311194f39f94de29a035a7cf8ff303901d4f579

Observation 4a4a0e2f-d0bc-415c-aaae-513e80d2e3b2 · outbound

This paper cites How Language Model Hallucinations Can Snowball.

Chain-of-Verification Reduces Hallucination in Large Language Models How Language Model Hallucinations Can Snowball

Reference 124

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:06:50.271292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:157607904ba2825521f6f341ce969be1e153583f88d596310a9ac8cc477c6c03

Observation 9d26d128-bdc9-4a21-a9b6-bc0ca5104c11 · outbound

This paper cites ACM Computing Surveys , volume=.

Chain-of-Verification Reduces Hallucination in Large Language Models ACM Computing Surveys , volume=

Reference 125

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:06:50.700399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:73f96d663e89836e3749873fbb09345707c7aacd2aeee6770a66148986ba4dd8

Observation f22a7b8b-debd-4a60-a748-2d5fe0b0eb6f · outbound

This paper cites On Faithfulness and Factuality in Abstractive Summarization.

Chain-of-Verification Reduces Hallucination in Large Language Models On Faithfulness and Factuality in Abstractive Summarization

Reference 126

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T01:06:50.281881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:e6719c9cbb6280ef90ae7085e51d5b85f7fbef0e4b917c135fd0f5b59667f677

Observation fc7e7947-3f82-4ad3-a97f-fe627f9ecc4c · outbound

This paper cites Deductive Verification of Chain-of-Thought Reasoning.

Chain-of-Verification Reduces Hallucination in Large Language Models Deductive Verification of Chain-of-Thought Reasoning

Reference 127

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:06:50.286739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:87970a21c4a8da6cfacb17723c2fe51c2996867797aa557a5b43923a1a9fd0c4

Observation b8682355-36b1-42cd-b779-a49f47d0fbb8 · outbound

This paper cites an unresolved cited work.

Chain-of-Verification Reduces Hallucination in Large Language Models Unresolved cited work

Reference 128

Resolution
unresolved
raw_fallback, observed 2026-05-18T01:12:16.340919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:baca5458e7061962f802113d363876f7a6ba3d612abdb38206d91c8aee00fba4

Observation 0778b04b-a2fa-402c-b39d-3f42ff8ba43b · outbound

This paper cites Towards a Human-like Open-Domain Chatbot.

Chain-of-Verification Reduces Hallucination in Large Language Models Towards a Human-like Open-Domain Chatbot

Reference 129

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T01:06:50.296137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:407dab79f4296b3738ca5c16abf856f2c8af1aa4a537556f797a62c3b88a1b49

Observation ebacc9f8-92f6-4d61-bf76-f9860937064d · outbound

This paper cites Forward-Backward Reasoning in Large Language Models for Mathematical Verification.

Chain-of-Verification Reduces Hallucination in Large Language Models Forward-Backward Reasoning in Large Language Models for Mathematical Verification

Reference 130

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T01:06:50.300212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:d35c9cce77d7d46d931a2e9b40043ed0ebac155a523eb9d75d7e05b1154c03fc

Observation ef5e1c6f-cfa0-46d9-8416-16cca676e88c · outbound

This paper cites QUEST: A Retrieval Dataset of Entity-Seeking Queries with Implicit Set Operations.

Chain-of-Verification Reduces Hallucination in Large Language Models QUEST: A Retrieval Dataset of Entity-Seeking Queries with Implicit Set Operations

Reference 131

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:06:50.304787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:2a0c097754934cc4854f815ffc304df758ebe5341d18f23086a15afb5266e58a

Observation a408fbe3-2125-4c71-8518-6e38914c83b3 · outbound

This paper cites Director: Generator-Classifiers For Supervised Language Modeling.

Chain-of-Verification Reduces Hallucination in Large Language Models Director: Generator-Classifiers For Supervised Language Modeling

Reference 132

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:12:16.338322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:c127f1dbaea161d2996b38faadd23916ed7a2582f4f73b15c982b9c429bac69d

Observation 0ab96fcc-e229-4d6b-bc46-3f51ab1e6f1c · outbound

This paper cites LM vs LM: Detecting Factual Errors via Cross Examination.

Chain-of-Verification Reduces Hallucination in Large Language Models LM vs LM: Detecting Factual Errors via Cross Examination

Reference 133

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:06:50.314126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:d69a502dede9f1600a3c6e1105af807cfb118182628743eaf234649e74ad3acf

Observation d2165dda-4bea-4ae5-a760-730ac6a002ac · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

Chain-of-Verification Reduces Hallucination in Large Language Models Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 134

Resolution
metadata mismatch
local_arxiv, observed 2026-05-18T01:06:50.318083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:3afc5a2f00eeab2d45363a9d8ba82658b704e4988405f6e40fa055513bfee95a

Observation 76b6e36e-369f-4c79-8933-98c2c2dd902d · outbound

This paper cites Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations.

Chain-of-Verification Reduces Hallucination in Large Language Models Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations

Reference 135

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:12:16.335344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:31ed4b21ea89caf56a771f50df03a2c16edc79c0ea46e4d76051b3bab95936b0

Observation de458e5b-f340-429c-bb99-01b05c33f232 · outbound

This paper cites ACM SIGKDD Explorations Newsletter , volume=.

Chain-of-Verification Reduces Hallucination in Large Language Models ACM SIGKDD Explorations Newsletter , volume=

Reference 136

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:12:16.332631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:0e3096f8e717e27d6f810404812903ac080768459ce90b66d5071f79acf87afa

Pith citing papers

Observation cbb018d9-194d-4d51-9732-ad48bef621e1 · inbound

Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models cites this paper.

Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models Chain-of-Verification Reduces Hallucination in Large Language Models

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:06:50.701847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T14:21:16.453610Z digest=sha256:8091164b3e766eb5edec216afbe71db7d5c103e4ef503ef79ba9b719e8c155d3

Observation 50b9ddda-c696-41a0-9d8c-6bd076d567fa · inbound

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection cites this paper.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Chain-of-Verification Reduces Hallucination in Large Language Models

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:06:50.701847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:8f4bd3b014255f0761994217e24c10f97d68999ef0c7b6d683e5ae79fb64b502

Observation 0e2e732b-141c-46f6-96e4-d9fbd04f4f5a · inbound

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions cites this paper.

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions Chain-of-Verification Reduces Hallucination in Large Language Models

Reference 77

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T01:06:50.701847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T02:46:26.957539Z digest=sha256:3279143d6373c606cc5270ab5d61f2e7906b96ae1115be3b8704ff01c24784b7

Observation 4e48946b-e2cc-4b47-bb71-158908b7e930 · inbound

Retrieval-Augmented Generation for Large Language Models: A Survey cites this paper.

Retrieval-Augmented Generation for Large Language Models: A Survey Chain-of-Verification Reduces Hallucination in Large Language Models

Reference 93

Resolution
verified exact
local_arxiv, observed 2026-05-24T05:13:57.162354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-24T05:10:25.171044Z digest=sha256:def8632cc39116309f9d0d10dc4ae60f9b629fc54f7871a3da0659881f884e6a

Observation 3be17f03-2a6f-4330-880b-039dd6739f60 · inbound

Hallucination is Inevitable: An Innate Limitation of Large Language Models cites this paper.

Hallucination is Inevitable: An Innate Limitation of Large Language Models Chain-of-Verification Reduces Hallucination in Large Language Models

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:06:50.701847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T20:38:43.411206Z digest=sha256:4c1f4ffb13b18b10ea3272038dfc7462f4c604fbce33a2bb005a01519bb47366

Observation 1e38f368-b7b7-44c7-b968-824d9115711c · inbound

A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications cites this paper.

A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications Chain-of-Verification Reduces Hallucination in Large Language Models

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:06:50.701847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T21:52:09.938550Z digest=sha256:9cde67074ee1b9f319809421c50fa13bede915a2f7f0e54cb1de778fb5f51b6f

Observation 6ea290ab-7b3c-4691-9db6-61b8d19438b2 · inbound

Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs cites this paper.

Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs Chain-of-Verification Reduces Hallucination in Large Language Models

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:06:50.701847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T00:52:02.421389Z digest=sha256:9699a402313076544800f3ed4d228ab1ddc518b60b1cd504710a8dbfc6daad08

Observation b5f32681-62ec-42b4-b2a8-830be4e3a6ca · inbound

Social and Ethical Risks Posed by General-Purpose LLMs for Settling Newcomers in Canada cites this paper.

Social and Ethical Risks Posed by General-Purpose LLMs for Settling Newcomers in Canada Chain-of-Verification Reduces Hallucination in Large Language Models

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-05-23T23:08:35.466845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T23:07:23.738519Z digest=sha256:c7b4b595d8450dae39e5a9e0061ddcc4179c397f42d14d7fae8d01dff99e4bbc

Observation 3832d90e-5d67-41e2-88a8-f6a10eb55ce1 · inbound

Hallucinations are inevitable but can be made statistically negligible cites this paper.

Hallucinations are inevitable but can be made statistically negligible Chain-of-Verification Reduces Hallucination in Large Language Models

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-05-23T02:42:25.823118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T02:41:59.640979Z digest=sha256:ac0a6ed45171c8465256faffd0a8c5c2927fed6787ab31599e3ce01402a6ca62

Observation 7ba8da34-f93d-4872-aa43-ed7a0aea1210 · inbound

Towards an AI co-scientist cites this paper.

Towards an AI co-scientist Chain-of-Verification Reduces Hallucination in Large Language Models

Reference 221

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T01:06:50.701847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-11T13:02:43.571234Z digest=sha256:c269dd0315a686f3212bb7ee192caf05ad3f2cfdf44d1d780c3372ab56b24c39

Observation c632c921-d765-4a2e-9fb5-d1a80168cd6f · inbound

Building Task Bots with Self-learning for Enhanced Adaptability, Extensibility, and Factuality cites this paper.

Building Task Bots with Self-learning for Enhanced Adaptability, Extensibility, and Factuality Chain-of-Verification Reduces Hallucination in Large Language Models

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-05T15:38:42.338969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:38:42.338969Z digest=sha256:b5df9a9df8f8166fd7a3bd70447495609566e5b3574476768a25f39e0132a8df

Observation adc21134-81c3-41c0-a250-ee289875f6fd · inbound

Beyond ROUGE: N-Gram Subspace Features for LLM Hallucination Detection cites this paper.

Beyond ROUGE: N-Gram Subspace Features for LLM Hallucination Detection Chain-of-Verification Reduces Hallucination in Large Language Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-05T10:50:31.422355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:50:31.422355Z digest=sha256:e5573753fef3f102ca6d45a8ebb76b813910fee516584ce75292e354d3f84e70

Observation ff9985bf-5cb7-4e9c-93ff-e82ef06e04a8 · inbound

Cross-Layer Attention Probing for Fine-Grained Hallucination Detection cites this paper.

Cross-Layer Attention Probing for Fine-Grained Hallucination Detection Chain-of-Verification Reduces Hallucination in Large Language Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-05T10:18:02.879922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:18:02.879922Z digest=sha256:660590fa3dca968c591f44b3125acd85f466bac593572813b95779f8077c2f0b

Observation 8af8d0a2-c3d7-4e12-a116-b37defb9d0ff · inbound

Perceive, Verify and Understand Long Video: Multi-Granular Perception and Active Verification via Interactive Agents cites this paper.

Perceive, Verify and Understand Long Video: Multi-Granular Perception and Active Verification via Interactive Agents Chain-of-Verification Reduces Hallucination in Large Language Models

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-05-18T12:41:22.609507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T12:40:19.544260Z digest=sha256:cddc994c4cc94275c1972ff63e7400614924a7fbb6176bf20f48c0c864d72eb3

Observation 7962eca1-f6b0-413c-8fcd-7a133f8ae6f7 · inbound

MobiBench: Multi-Branch, Modular Benchmark for Mobile GUI Agents cites this paper.

MobiBench: Multi-Branch, Modular Benchmark for Mobile GUI Agents Chain-of-Verification Reduces Hallucination in Large Language Models

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:06:50.701847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T22:59:16.413568Z digest=sha256:3bf3d5ec525d32378c620a6c4325726e9a4fbba9d4ff65aabd97f23df4268c67

Observation 85c70511-ed8c-4258-9462-ea17f58cd7c2 · inbound

MobiBench: Multi-Branch, Modular Benchmark for Mobile GUI Agents cites this paper.

MobiBench: Multi-Branch, Modular Benchmark for Mobile GUI Agents Chain-of-Verification Reduces Hallucination in Large Language Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-03T16:38:32.879132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:38:32.879132Z digest=sha256:f6bead57ee00823ddc80766d26e9fe0f41396622342eec716f994a576e91955b

Observation 01a66980-d5ea-4656-9fa3-c79d9658d635 · inbound

Hallucination Detection and Evaluation of Large Language Model cites this paper.

Hallucination Detection and Evaluation of Large Language Model Chain-of-Verification Reduces Hallucination in Large Language Models

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:06:50.701847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T19:39:38.634860Z digest=sha256:c5bac085b184e0ec38a4831e3ff5b53d4212897a04f2dd878cd7e6e41fa8722c

Observation b79135d3-4843-4b65-adb9-7a8de09bccfc · inbound

Profile-Then-Reason: Bounded Semantic Complexity for Tool-Augmented Language Agents cites this paper.

Profile-Then-Reason: Bounded Semantic Complexity for Tool-Augmented Language Agents Chain-of-Verification Reduces Hallucination in Large Language Models

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:06:50.701847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T17:01:26.747812Z digest=sha256:b4c8e5c91d6487d095ebfe2bd049b3a1b5be88da38b0e398b82a397e3d5a6597

Observation 74f9324e-c4ab-47f3-b569-c47077c3d7d9 · inbound

Distributional Open-Ended Evaluation of LLM Cultural Value Alignment Based on Value Codebook cites this paper.

Distributional Open-Ended Evaluation of LLM Cultural Value Alignment Based on Value Codebook Chain-of-Verification Reduces Hallucination in Large Language Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-07-14T20:48:19.312615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T20:48:19.312615Z digest=sha256:e4411b8847072ed84d383540ef2d01d74ce6e5ef39ad71ef4d2840c1be8807b9

Observation 4c772a71-01a5-42b5-aeaa-e931eee91979 · inbound

Illocutionary Explanation Planning for Source-Faithful Explanations in Retrieval-Augmented Language Models cites this paper.

Illocutionary Explanation Planning for Source-Faithful Explanations in Retrieval-Augmented Language Models Chain-of-Verification Reduces Hallucination in Large Language Models

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T01:06:50.701847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T10:39:11.866574Z digest=sha256:68a7b026a6a39b9f57907a69175a2daae5d200cd7a2dd3681efd2c2261364edb

Observation d40ff8ae-38ae-4fad-bcf3-668ea42ed403 · inbound

Reducing Hallucination in Enterprise AI Workflows via Hybrid Utility Minimum Bayes Risk (HUMBR) cites this paper.

Reducing Hallucination in Enterprise AI Workflows via Hybrid Utility Minimum Bayes Risk (HUMBR) Chain-of-Verification Reduces Hallucination in Large Language Models

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:06:50.701847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T16:34:11.393056Z digest=sha256:aec7d4a1f6322f97961a11e16571a184dfd73868774023be9fa56860a556592f

Observation 4eb4ff33-14b1-42b6-a061-018bf7578c9d · inbound

Credo: Declarative Control of LLM Pipelines via Beliefs and Policies cites this paper.

Credo: Declarative Control of LLM Pipelines via Beliefs and Policies Chain-of-Verification Reduces Hallucination in Large Language Models

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:06:50.701847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T13:06:12.799479Z digest=sha256:56a52bfec2cb0cb137876c8da860b22adb66f335689a4eb6e6829074c3ba8e4f

Observation a171c848-3b23-44d7-84a0-b5e6433ac645 · inbound

Answer Only as Precisely as Justified: Calibrated Claim-Level Specificity Control for Agentic Systems cites this paper.

Answer Only as Precisely as Justified: Calibrated Claim-Level Specificity Control for Agentic Systems Chain-of-Verification Reduces Hallucination in Large Language Models

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:06:50.701847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T05:31:11.718051Z digest=sha256:8b8e6db11d285e0b63c97f1fb6aa13165abef82c0b46402e42f5387c4583f553

Observation f97ff0cd-9065-49c6-8bd6-e935f53a1a30 · inbound

Answer Only as Precisely as Justified: Calibrated Claim-Level Specificity Control for Agentic Systems cites this paper.

Answer Only as Precisely as Justified: Calibrated Claim-Level Specificity Control for Agentic Systems Chain-of-Verification Reduces Hallucination in Large Language Models

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-05-20T23:59:15.258219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-20T23:56:44.979471Z digest=sha256:eee1865a2b13dc14a049f6d2c625543158f5f1e1bf9c560a6c63eba3996463b7

Observation d3956153-7c0a-4f3f-a7ca-d20e492b3cdd · inbound

Four-Axis Decision Alignment for Long-Horizon Enterprise AI Agents cites this paper.

Four-Axis Decision Alignment for Long-Horizon Enterprise AI Agents Chain-of-Verification Reduces Hallucination in Large Language Models

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:06:50.701847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T02:19:57.341402Z digest=sha256:723c7eb389164930dc1cc2eb21811f737cf6526831959ff3f349624015afa6bf

Observation 6f96d642-3b43-4753-8dc2-2147b0053d0c · inbound

HalluScan: A Systematic Benchmark for Detecting and Mitigating Hallucinations in Instruction-Following LLMs cites this paper.

HalluScan: A Systematic Benchmark for Detecting and Mitigating Hallucinations in Instruction-Following LLMs Chain-of-Verification Reduces Hallucination in Large Language Models

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:06:50.701847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-08T18:28:22.798874Z digest=sha256:8b8cafe54eb9b1d64ad9ad27c9c32464ace6b19182421d8d3c35348a7928bf1a

Observation aaacf872-a85a-45e0-94b0-7c0a8a243746 · inbound

HalluScan: A Systematic Benchmark for Detecting and Mitigating Hallucinations in Instruction-Following LLMs cites this paper.

HalluScan: A Systematic Benchmark for Detecting and Mitigating Hallucinations in Instruction-Following LLMs Chain-of-Verification Reduces Hallucination in Large Language Models

Reference 37

Resolution
metadata mismatch
local_arxiv, observed 2026-05-25T06:50:27.976368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-25T06:49:16.755597Z digest=sha256:adb9a517364a6291f2103208b4ad0c47c506ff7f78530674a2dfef04e3fee811

Observation 0c69be3b-f060-4544-96ce-42208840be27 · inbound

REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations cites this paper.

REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations Chain-of-Verification Reduces Hallucination in Large Language Models

Reference 116

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:06:50.701847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-14T20:13:10.814899Z digest=sha256:189c90c1674b5d8c695de564460a23375b71793ff7fd5ff64f94bd13cafa0688

Observation c6f435b9-6eab-447f-ace3-63a98b8f1fe1 · inbound

Verify-Gated Completion as Admission Control in a Governed Multi-Agent Runtime: A Bounded Architecture Case Study cites this paper.

Verify-Gated Completion as Admission Control in a Governed Multi-Agent Runtime: A Bounded Architecture Case Study Chain-of-Verification Reduces Hallucination in Large Language Models

Reference 8

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T09:28:10.112134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-20T09:26:37.961221Z digest=sha256:bf67a07f4e3e404272ffce29fc1556faa4c487d2d94787191d947dbe3aabc097

Observation a0cf07e5-a31c-45fe-891b-4904cadc562e · inbound

Verify-Gated Completion as Admission Control in a Governed Multi-Agent Runtime: A Bounded Architecture Case Study cites this paper.

Verify-Gated Completion as Admission Control in a Governed Multi-Agent Runtime: A Bounded Architecture Case Study Chain-of-Verification Reduces Hallucination in Large Language Models

Reference 8

Resolution
metadata mismatch
local_arxiv, observed 2026-05-22T10:11:22.291518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T10:08:38.741728Z digest=sha256:52f6db611830512f610c0dea1f0b0c8367aa46eb48f504e55a4dc4ac42171426

Observation 1d12e464-8be1-4d73-8544-c6b71335c058 · inbound

Fine-Tuning Vision-Language Models for Understanding Current Damage and Scoring Priority with Quality Guard Agent cites this paper.

Fine-Tuning Vision-Language Models for Understanding Current Damage and Scoring Priority with Quality Guard Agent Chain-of-Verification Reduces Hallucination in Large Language Models

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-06-30T11:54:38.328727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-30T11:50:35.271031Z digest=sha256:437cf5543854cd04eb374a5179c050513a4554341495aba7df4ccdf8010c6f41

Observation 85513b48-d5cf-40da-bf56-f1f8fbe614b2 · inbound

Risk-aware Selective Prompting for Hallucination Mitigation in Large Vision-Language Models cites this paper.

Risk-aware Selective Prompting for Hallucination Mitigation in Large Vision-Language Models Chain-of-Verification Reduces Hallucination in Large Language Models

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-06-29T13:13:27.178884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T13:12:31.665882Z digest=sha256:d771432e3075ae14fbec69ff16602d331c678453cc92642380359b4bc2b12931

Observation 0417c235-66b6-44a6-b570-a0095f9cdd6d · inbound

POIROT: Interrogating Agents for Failure Detection in Multi-Agent Systems cites this paper.

POIROT: Interrogating Agents for Failure Detection in Multi-Agent Systems Chain-of-Verification Reduces Hallucination in Large Language Models

Reference 26

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T23:06:19.960172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T14:44:21.487169Z digest=sha256:5d10f1e720d70265830629dc642b21328599e4d60374313c5cb8335da7121a94

Observation 95373a31-76b9-4adf-8e63-019041e2b79c · inbound

The Self-Correction Illusion: Role Relabeling Gates Explicit Error Flagging in Large Language Models cites this paper.

The Self-Correction Illusion: Role Relabeling Gates Explicit Error Flagging in Large Language Models Chain-of-Verification Reduces Hallucination in Large Language Models

Reference 29

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T13:16:58.992546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-28T01:25:07.890796Z digest=sha256:3aa2a8168ed2ee5ae27ea1517fe56458339caa191f01ef6ceea6558bba9d5530

Observation 143238b9-4f91-4665-998e-b99c73b2c30b · inbound

Evaluating Hallucinations in Domain-Adapted Large Language Models cites this paper.

Evaluating Hallucinations in Domain-Adapted Large Language Models Chain-of-Verification Reduces Hallucination in Large Language Models

Reference 27

Resolution
metadata mismatch
local_arxiv, observed 2026-07-05T17:21:17.967525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-07-11T11:50:26.030339Z digest=sha256:b9d75f7cad75d513dd996b28784233748bfca3d3ae9dc569c773ce9bac8dab03

Observation c9cb8e64-f963-4f44-a2ff-b2c1b4f46161 · inbound

Denoising Iterative Self-Correction: Structured Verification Loops for Reliable LLM Reasoning cites this paper.

Denoising Iterative Self-Correction: Structured Verification Loops for Reliable LLM Reasoning Chain-of-Verification Reduces Hallucination in Large Language Models

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T06:59:37.850497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-26T13:59:56.442032Z digest=sha256:df1efb92b261be0554b36475cf870ba4cfe8e9bd3693035f674b1695500d1c99

Observation 4a285326-b35d-4af2-aa2f-d580aa33270f · inbound

Only Ask What You Don't Know: Grounded Delta Planning for Efficient Multi-step RAG cites this paper.

Only Ask What You Don't Know: Grounded Delta Planning for Efficient Multi-step RAG Chain-of-Verification Reduces Hallucination in Large Language Models

Reference 36

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T09:19:44.016570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-26T10:10:16.661082Z digest=sha256:d9efea3607b2199ee5946a3592ac61e3cf110dd3372859ee10606a07dee62c0b

Observation 9bd75636-5dec-42fc-80db-a3c076f2eb22 · inbound

An Approach for a Supporting Multi-LLM System for Automated Certification Based on the German IT-Grundschutz cites this paper.

An Approach for a Supporting Multi-LLM System for Automated Certification Based on the German IT-Grundschutz Chain-of-Verification Reduces Hallucination in Large Language Models

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-07-04T20:00:08.722479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-25T20:50:39.418531Z digest=sha256:d995dc9d023ec7f4ae05a290cfaa7e6f051fd53463beb35ddb6d40ea9f6c4ffb

Observation 901474cb-7e78-499b-acf5-9ca24a183489 · inbound

Agent vs. Parametric World Models: Hybrid Planning for Reliable Language Agents cites this paper.

Agent vs. Parametric World Models: Hybrid Planning for Reliable Language Agents Chain-of-Verification Reduces Hallucination in Large Language Models

Reference 70

Resolution
metadata mismatch
local_arxiv, observed 2026-06-29T19:23:54.333541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-29T04:46:11.090693Z digest=sha256:e8db6ba761216d642d7e87a90dde292253025fa3717eafdf39c8c293272e0df8

Observation c41880a4-3b16-4df0-9dda-15fe20c21a0c · inbound

Agent vs. Parametric World Models: Hybrid Planning for Reliable Language Agents cites this paper.

Agent vs. Parametric World Models: Hybrid Planning for Reliable Language Agents Chain-of-Verification Reduces Hallucination in Large Language Models

Reference 70

Resolution
metadata mismatch
local_arxiv, observed 2026-07-03T22:49:01.180399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-07-03T22:41:41.912274Z digest=sha256:4b7d557cce595a45574f4b7a79c266d3e8b33d159772f7ef992957cca9d7dca9

Observation 9b7e82e1-1a07-4361-b435-2a65d895eb8b · inbound

Stop Hand-Holding Your Coding Agent: Engineering the Loops that Replace Step-by-Step Prompting cites this paper.

Stop Hand-Holding Your Coding Agent: Engineering the Loops that Replace Step-by-Step Prompting Chain-of-Verification Reduces Hallucination in Large Language Models

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-07-02T20:47:22.202714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-02T20:40:11.059493Z digest=sha256:a0c82e2fde2f5f5a615f0ac6c5d408b04f81661464c3c9cf26a5a76795130cd5

Observation cf366fb3-360c-46fc-8726-3b40d43f6413 · inbound

TGMS: An Agent-Native Bi-Temporal Graph Management System cites this paper.

TGMS: An Agent-Native Bi-Temporal Graph Management System Chain-of-Verification Reduces Hallucination in Large Language Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-07-14T13:04:26.996953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T13:04:26.996953Z digest=sha256:ca3fc70aa897a29631dfbe1ed3d73aab30696911fec63015eebcb6695baf59c7

Observation ed1e63db-8bc2-4b87-b839-1f85efd1db53 · inbound

TGMS: An Agent-Native Bi-Temporal Graph Management System cites this paper.

TGMS: An Agent-Native Bi-Temporal Graph Management System Chain-of-Verification Reduces Hallucination in Large Language Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-02T07:25:35.785755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:25:35.785755Z digest=sha256:9afc0c6e1f5bf7bbe08e31d200ea6a2293015586aadfabd462ed5f4ec92e6720

Observation 03479534-2bcd-498c-aaef-850dee448192 · inbound

Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B cites this paper.

Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B Chain-of-Verification Reduces Hallucination in Large Language Models

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-02T04:54:48.635069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:54:48.635069Z digest=sha256:8bab62c69ee2cdcc1d3e0327ea8b8e848b392275a08b5014b4b9a622f90759ab

Observation b031c1cf-6e02-496c-b9a7-0dadf69039ef · inbound

Reliability Scales Inversely: Hallucinations Snowball Faster in Bigger Language Models cites this paper.

Reliability Scales Inversely: Hallucinations Snowball Faster in Bigger Language Models Chain-of-Verification Reduces Hallucination in Large Language Models

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-02T09:19:47.402906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T09:19:47.402906Z digest=sha256:0e634d66419ec172b1f024a85b9f2152baa3f872bf1b5a22e69d86b2a05435da

Observation 4c39a1f5-c009-4c48-aa0b-92bc5e559101 · inbound

ConsistencyGate: Preventing Memory Contamination in LLM Agents via Self-Consistency Admission Control cites this paper.

ConsistencyGate: Preventing Memory Contamination in LLM Agents via Self-Consistency Admission Control Chain-of-Verification Reduces Hallucination in Large Language Models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-01T04:05:37.566433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T04:05:37.566433Z digest=sha256:5ef65bc6c3942539f0e054181bee8d06d338b5972ed2e9c93d9e91c61ee5ab4e