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Paper Citation Record · LEDGER

Reasoning with Language Model Prompting: A Survey

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2212.09597.

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

pith.paper-citation-record.v1
2212.09597 v8

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:17:51.891463Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

12
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 99a2624b-0a80-464b-89d2-302b48e5d178 · inbound

A Survey of Large Language Models cites this paper.

A Survey of Large Language Models Reasoning with Language Model Prompting: A Survey

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:46:40.014733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T22:46:39.268353Z digest=sha256:73562b70d60afe513090a5f85b1864f1f5cc9befd32c671158d756a10220fdee

Observation 16d0b1d2-77d2-4ea2-855c-824d26692afc · 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 Reasoning with Language Model Prompting: A Survey

Reference 262

Resolution
verified exact
arxiv_id, observed 2026-05-13T02:46:27.870832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T02:46:26.957539Z digest=sha256:995d644edfafda54b2d5d60a51e7bc79211a28fd6a7ccffa646712b7826cbee7

Observation 74609f09-f5dd-4f42-97af-cd4eb3df7c57 · inbound

Hallucination of Multimodal Large Language Models: A Survey cites this paper.

Hallucination of Multimodal Large Language Models: A Survey Reasoning with Language Model Prompting: A Survey

Reference 135

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:33:32.904581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-11T12:33:32.631346Z digest=sha256:5125068e78484fa87570e4d9106eeee7532f897f9e4e3a701d8d887e830367fc

Observation 67454993-41a9-40eb-9a89-8b6585b4b79d · inbound

TS-Reasoner: Domain-Oriented Time Series Inference Agents for Reasoning and Automated Analysis cites this paper.

TS-Reasoner: Domain-Oriented Time Series Inference Agents for Reasoning and Automated Analysis Reasoning with Language Model Prompting: A Survey

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-23T19:45:47.236855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-23T19:45:39.130509Z digest=sha256:b78c1d69b56020e50e26cfe09b666143c9fe5ea55f44d390efa3e04d0c62ad52

Observation fd45721b-ced5-4cd5-968d-8b64c3aa0fd5 · inbound

Bridging Language Models and Financial Analysis cites this paper.

Bridging Language Models and Financial Analysis Reasoning with Language Model Prompting: A Survey

Reference 76

Resolution
verified exact
arxiv_id, observed 2026-05-23T01:12:20.849827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-23T01:08:58.528533Z digest=sha256:4869115b33a26e458390c49c03e6167c6ec53f6b61296b8f4679e16d76e78c02

Observation 6eacae7a-9515-496b-b3b9-45287e38a8ef · inbound

ThinkLess: A Training-Free Inference-Efficient Method for Reducing Reasoning Redundancy cites this paper.

ThinkLess: A Training-Free Inference-Efficient Method for Reducing Reasoning Redundancy Reasoning with Language Model Prompting: A Survey

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T15:17:51.891463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:17:51.891463Z digest=sha256:5b7a98116a39ad28b5dfc46e69d6c43a4a23b76936137f1bc999027436fb6ed6

Observation 291457a2-b043-483a-9d34-bd7e1b2e7d0d · inbound

Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions cites this paper.

Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions Reasoning with Language Model Prompting: A Survey

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T14:07:48.738564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:07:48.738564Z digest=sha256:cf58143a215c25b67c3d0c5063d711d34fcbfc41d43fc169cb300fcb171147bc

Observation 0a4b7a2c-ad48-4b13-bd84-4d8a6b1918dd · inbound

Iterative Self-Incentivization Empowers Large Language Models as Agentic Searchers cites this paper.

Iterative Self-Incentivization Empowers Large Language Models as Agentic Searchers Reasoning with Language Model Prompting: A Survey

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-07T14:05:19.282572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:05:19.282572Z digest=sha256:cabaea733eb1ba2069d3a172437f055865dc20d54875e8837d08a4ad1a08bc27

Observation c05969c3-a81c-4deb-b52d-cd05fdd58844 · inbound

E-FreeM2: Efficient Training-Free Multi-Scale and Cross-Modal News Verification via MLLMs cites this paper.

E-FreeM2: Efficient Training-Free Multi-Scale and Cross-Modal News Verification via MLLMs Reasoning with Language Model Prompting: A Survey

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T22:43:28.796482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:43:28.796482Z digest=sha256:3a22213b5e620eb309b0e87fc70bfac48d18be9d92f7266e2295cf4199cff03a

Observation 30d4432b-ca4a-4fe7-83f1-193ce9bfba19 · inbound

Reconsidering Overthinking: Penalizing Internal and External Redundancy in CoT Reasoning cites this paper.

Reconsidering Overthinking: Penalizing Internal and External Redundancy in CoT Reasoning Reasoning with Language Model Prompting: A Survey

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T05:14:37.196964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:14:37.196964Z digest=sha256:270a9da83cfa5ef336d4f9b2adb4f1f38fbd2b61fd741b129ea3249565f1b0c2

Observation 6c934d67-ed6f-4ec2-acd3-1343619fa325 · inbound

SoK: Honeypots & LLMs, More Than the Sum of Their Parts? cites this paper.

SoK: Honeypots & LLMs, More Than the Sum of Their Parts? Reasoning with Language Model Prompting: A Survey

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-18T03:05:48.258964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T03:03:29.755428Z digest=sha256:544595a97e1080b9515ae7e290f6a899bb1794c7f4cda4bc931929daee579ce0

Observation e56f18cb-8c2c-4b36-b043-c05c637dbb54 · inbound

Characterize Then Distill: Mechanistic Reasoning in Large Output Spaces cites this paper.

Characterize Then Distill: Mechanistic Reasoning in Large Output Spaces Reasoning with Language Model Prompting: A Survey

Reference 166

Resolution
verified exact
arxiv_id, observed 2026-06-27T22:31:21.415107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T22:22:52.690010Z digest=sha256:2783be464f36a1599e893d732e8d4e415ae922bd6401fea3a9cbf4c6d5ee5126