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Paper Citation Record · LEDGER

Integrating Local and Global Entropy for Uncertainty Quantification in LLMs

As of 21 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2606.09875.

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

pith.paper-citation-record.v1
2606.09875 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T10:31:25.054595Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

14 of 14 outbound references displayed

  • verified exact10
  • verified fuzzy0
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 85695fee-b6e2-4f6e-845c-d0d4022ab533 · outbound

This paper cites AA-Omniscience: Evaluating cross-domain knowledge reliability in large language models.arXiv preprint arXiv:2511.13029,.

Integrating Local and Global Entropy for Uncertainty Quantification in LLMs AA-Omniscience: Evaluating cross-domain knowledge reliability in large language models.arXiv preprint arXiv:2511.13029,

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-07-02T02:56:28.915607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-28T10:31:25.054595Z digest=sha256:6f16aeaef3b4e56841c524558ba9a020014b78208fc6708214d695ca802fbb36

Observation c107643e-2431-4ab3-86ec-33375fb94504 · outbound

This paper cites Mitigating LLM Hallucinations via Conformal Abstention.

Integrating Local and Global Entropy for Uncertainty Quantification in LLMs Mitigating LLM Hallucinations via Conformal Abstention

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-06-28T10:31:59.773597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-28T10:31:25.054595Z digest=sha256:12c861f1efb7769357baca6d1c0efd0f2e6d4e5a592f154824f554133a403b01

Observation dfbd8d8a-4ba6-45d4-a40e-cf096d839a3c · outbound

This paper cites Estimating LLM Uncertainty with Evidence.

Integrating Local and Global Entropy for Uncertainty Quantification in LLMs Estimating LLM Uncertainty with Evidence

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T02:56:28.937475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-28T10:31:25.054595Z digest=sha256:391f5b466a00526a759a226547d968e44c8f3fc10e1c8f566af5c316b41e8cf5

Observation a980ace0-e566-49e6-80e8-fec93c8fc016 · outbound

This paper cites Language Models (Mostly) Know What They Know.

Integrating Local and Global Entropy for Uncertainty Quantification in LLMs Language Models (Mostly) Know What They Know

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-07-02T02:56:28.940936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-28T10:31:25.054595Z digest=sha256:2852a84118df859669954c721a8dc43e3ec19fe013a6625d5ae55021e608951f

Observation aad844a9-56c3-4c2d-a755-308ef3b647d5 · outbound

This paper cites Beyond the Black Box: A Statistical Model for LLM Reasoning and Inference.

Integrating Local and Global Entropy for Uncertainty Quantification in LLMs Beyond the Black Box: A Statistical Model for LLM Reasoning and Inference

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T02:56:28.929777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-28T10:31:25.054595Z digest=sha256:9abc672702fae3646da33e0eb7f0a91d8be2a30fc58b8e31ce9c1cdfcf86cf51

Observation 4e085f10-cc25-41f1-b1f5-7d94e0f204c0 · outbound

This paper cites an unresolved cited work.

Integrating Local and Global Entropy for Uncertainty Quantification in LLMs Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-06-28T10:31:25.054595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T10:31:25.054595Z digest=sha256:fb5d08bb56e68b48d7af1acd379e9272f1b5c7fdc684d7d4d1dba35039e5478d

Observation c5ef0d98-2497-4f27-8b22-cf51f763ffc1 · outbound

This paper cites Manakul, A.

Integrating Local and Global Entropy for Uncertainty Quantification in LLMs Manakul, A

Reference 7

Resolution
metadata mismatch
doi, observed 2026-06-28T10:31:59.769577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-28T10:31:25.054595Z digest=sha256:e2a089b7972ca141ad2870a40b13cdff8efe2a7a2fd120c50aec97733b74e887

Observation d430d813-9625-4850-8d60-609cf813ca7b · outbound

This paper cites Confidence Matters: Revisiting Intrinsic Self-Correction Capabilities of Large Language Models.

Integrating Local and Global Entropy for Uncertainty Quantification in LLMs Confidence Matters: Revisiting Intrinsic Self-Correction Capabilities of Large Language Models

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-07-02T02:56:28.933688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-28T10:31:25.054595Z digest=sha256:4062d299a24a588e54c4c61c18b1751a07cd65d65f3783ad1a7cd6cb3d32ce75

Observation 894d49e9-9b2e-411c-9774-cb77c3108f57 · outbound

This paper cites LLMs Get Lost In Multi-Turn Conversation.

Integrating Local and Global Entropy for Uncertainty Quantification in LLMs LLMs Get Lost In Multi-Turn Conversation

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-07-02T02:56:28.951311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-28T10:31:25.054595Z digest=sha256:a837bf56b593bded0eaf927d524963d0d39383654e323db7ce79925121e2ee8c

Observation 851e3960-86f2-4db5-8561-8775976c2487 · outbound

This paper cites Qwen2.5 Technical Report.

Integrating Local and Global Entropy for Uncertainty Quantification in LLMs Qwen2.5 Technical Report

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-07-02T02:56:28.944090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-28T10:31:25.054595Z digest=sha256:af747daddb1c74d1780dc94808faa3a8ad6b352fd34c1aa194c7b6e6277129a7

Observation 1ccce015-60ba-4755-be64-d8528e016ff2 · outbound

This paper cites Gemma 3 Technical Report.

Integrating Local and Global Entropy for Uncertainty Quantification in LLMs Gemma 3 Technical Report

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-07-02T02:56:28.934735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-28T10:31:25.054595Z digest=sha256:29a9214b2f6321243918a3209702fc3898cbe83cd7960a664b7b0d9422481c2f

Observation 5c17cf60-565b-48ba-80ad-fc1f5bc60a04 · outbound

This paper cites Fanar: An Arabic-Centric Multimodal Generative AI Platform.

Integrating Local and Global Entropy for Uncertainty Quantification in LLMs Fanar: An Arabic-Centric Multimodal Generative AI Platform

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-07-02T02:56:28.955166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-28T10:31:25.054595Z digest=sha256:74673e77c448461c7e967c8d59b19a1672296112687e4e5566b1fb7d4564b7f6

Observation 4805feb8-08a6-41ca-aedc-73e0ceea6e01 · outbound

This paper cites Yasin Abbasi Yadkori, Ilja Kuzborskij, András György, and Csaba Szepesvári.

Integrating Local and Global Entropy for Uncertainty Quantification in LLMs Yasin Abbasi Yadkori, Ilja Kuzborskij, András György, and Csaba Szepesvári

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-07-02T02:56:28.940940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-28T10:31:25.054595Z digest=sha256:4a84e5b4841c9af9725085db14a30a7b36fabd02bc38939343d55d819c420c72

Observation 7973d8c3-ac23-465d-aeee-d5eb26710851 · outbound

This paper cites We use the math subset of the releasedlost_in_conversationdata, comprising103problems decomposed into multiple turns each.

Integrating Local and Global Entropy for Uncertainty Quantification in LLMs We use the math subset of the releasedlost_in_conversationdata, comprising103problems decomposed into multiple turns each

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-07-02T02:56:28.937840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-28T10:31:25.054595Z digest=sha256:afae5a0125978cbffd374dae2e10723107a6e20ec7bfd48bc9c1f3ea31471c12

Pith citing papers

No inbound Pith citation observations are available.