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Paper Citation Record · LEDGER

A Survey of Reasoning with Foundation Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2312.11562.

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

pith.paper-citation-record.v1
2312.11562 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T22:39:45.561868Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T04:32:33.239969Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7f806829-9776-4315-9332-00c544519377 · inbound

MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models cites this paper.

MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models A Survey of Reasoning with Foundation Models

Reference 65

Resolution
verified exact
arxiv_id, observed 2026-05-13T10:07:53.825483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T10:07:53.748795Z digest=sha256:3a9e7442eb905f32c3b76c65dc8c3083d860626be17ca9291b25c4ef4268b09f

Observation 29df9d61-b8dd-42ed-8aa2-72ed08e0fb1d · inbound

Understanding the planning of LLM agents: A survey cites this paper.

Understanding the planning of LLM agents: A survey A Survey of Reasoning with Foundation Models

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-13T18:12:57.720996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T18:12:57.568144Z digest=sha256:2f667124ced8036717b055e1eaec7342370c7128e2ecf1a4947093d1f1271219

Observation 61329e0b-6277-44f6-b73f-af4739db0a31 · inbound

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning cites this paper.

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning A Survey of Reasoning with Foundation Models

Reference 175

Resolution
verified exact
arxiv_id, observed 2026-05-23T04:32:33.243143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-23T04:30:38.804702Z digest=sha256:ba7ec82b204d552522de4c6e3df76d11ef364f66d9267dbdae1e76ec9d709ac5

Observation 27556593-eb74-48ec-8618-5e7ebd21dd1c · inbound

Logical Reasoning in Large Language Models: A Survey cites this paper.

Logical Reasoning in Large Language Models: A Survey A Survey of Reasoning with Foundation Models

Reference 51

Resolution
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no resolver link, observed 2026-08-07T22:39:45.561868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:39:45.561868Z digest=sha256:67f13c70e3796bd335b3ce83b6b3ce519959eab7d43cc6323dd5801ce49b1784

Observation 0867eecc-0353-42d4-b8f0-7fe6c80e3aed · inbound

VLM-R$^3$: Region Recognition, Reasoning, and Refinement for Enhanced Multimodal Chain-of-Thought cites this paper.

VLM-R$^3$: Region Recognition, Reasoning, and Refinement for Enhanced Multimodal Chain-of-Thought A Survey of Reasoning with Foundation Models

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T15:10:12.352073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:10:12.352073Z digest=sha256:16131b2de3de304869cc6672e1de04636f564e79c22cca85cc94280e20f3c886

Observation c6e6190f-f8ce-4ad7-b7b1-f53ae29ec45d · inbound

Tool-Star: Empowering LLM-Brained Multi-Tool Reasoner via Reinforcement Learning cites this paper.

Tool-Star: Empowering LLM-Brained Multi-Tool Reasoner via Reinforcement Learning A Survey of Reasoning with Foundation Models

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-07T15:06:06.912225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:06:06.912225Z digest=sha256:58b137f76f1fdb066537c47edad7452a37f1c44cf21c03f2b92ef9a31f3a20eb

Observation 3f319d97-bafa-4e4c-b843-7092d7f4d799 · inbound

Demystifying Reasoning Dynamics with Mutual Information: Thinking Tokens are Information Peaks in LLM Reasoning cites this paper.

Demystifying Reasoning Dynamics with Mutual Information: Thinking Tokens are Information Peaks in LLM Reasoning A Survey of Reasoning with Foundation Models

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T11:19:47.545986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:19:47.545986Z digest=sha256:060f69d07571bdcb5b54be45e81d828997c105dadbe7d86b1e64a5c1e926178f

Observation 04c501d7-32d2-42cf-8766-483be0337083 · inbound

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? cites this paper.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? A Survey of Reasoning with Foundation Models

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-06T22:36:24.710627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:36:24.710627Z digest=sha256:a7fd614535317aa8fd5315f5122a36cb7a3ca4cafd887f9d9b18102843ca39f6

Observation 82d41c2d-4246-44ec-bca0-328c26073f9f · inbound

Unleashing Embodied Task Planning Ability in LLMs via Reinforcement Learning cites this paper.

Unleashing Embodied Task Planning Ability in LLMs via Reinforcement Learning A Survey of Reasoning with Foundation Models

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T21:55:03.633102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:55:03.633102Z digest=sha256:44adeb6630f424871942711405041312143ddabeaa8986472fff99f56c484c82

Observation 444c569d-143e-4ce3-ba93-3237036272ff · inbound

Synergizing Logical Reasoning, Knowledge Management and Collaboration in Multi-Agent LLM System cites this paper.

Synergizing Logical Reasoning, Knowledge Management and Collaboration in Multi-Agent LLM System A Survey of Reasoning with Foundation Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T20:39:05.842477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:39:05.842477Z digest=sha256:fc408fd5c52ba9603a45bf05f5c8315dc86e7742feb80cc28a70b1116db927cc

Observation e60409d5-a67b-4a9d-9dc9-908100d81b68 · inbound

Towards Unified Neurosymbolic Reasoning on Knowledge Graphs cites this paper.

Towards Unified Neurosymbolic Reasoning on Knowledge Graphs A Survey of Reasoning with Foundation Models

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T20:10:04.557956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:10:04.557956Z digest=sha256:1c651af06f6b04859f461a6921d1c4e3ced4af3b402f8a4c47f6ce352a9d746b

Observation b61ce7ae-81a1-4466-8a3b-47c7924e5b6e · inbound

CoRE: Enhancing Metacognition with Label-free Self-evaluation in LRMs cites this paper.

CoRE: Enhancing Metacognition with Label-free Self-evaluation in LRMs A Survey of Reasoning with Foundation Models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T19:16:31.368383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:16:31.368383Z digest=sha256:fb9a86da232dd908dea412398a139533858a5335ba19cf10000bdb9cf7bdc4f6

Observation 8cc7c969-fe34-4184-9bf0-fe9416858658 · inbound

Learning from Diverse Reasoning Paths with Routing and Collaboration cites this paper.

Learning from Diverse Reasoning Paths with Routing and Collaboration A Survey of Reasoning with Foundation Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-05T17:13:08.753287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:13:08.753287Z digest=sha256:ad83dab387bda11a10196fdc0f711233fa5de1b79ec80362fbfc04b05bed8fa4

Observation 7ce4cd0e-ae7f-4774-947f-ef3be385bb68 · inbound

Implicit Reasoning in Large Language Models: A Comprehensive Survey cites this paper.

Implicit Reasoning in Large Language Models: A Comprehensive Survey A Survey of Reasoning with Foundation Models

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-05T11:39:36.744945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:39:36.744945Z digest=sha256:eaaac3a2edf60582608d21ef2f83a2a2e2f51df13022d028925583b692c6a19c

Observation 10d5baf0-f353-4263-8200-79707d485636 · inbound

CoVeR: Conformal Calibration for Versatile and Reliable Autoregressive Next-Token Prediction cites this paper.

CoVeR: Conformal Calibration for Versatile and Reliable Autoregressive Next-Token Prediction A Survey of Reasoning with Foundation Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-05T06:00:59.681971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T06:00:59.681971Z digest=sha256:c35ff685d945bec55f49ea6be4a3c1e656421b91968cf8f0992c05eeebbdcddd

Observation 470f40c8-d2fe-4e08-9e8d-1f0190b11814 · inbound

The Shape of Reasoning: Topological Analysis of Reasoning Traces in Large Language Models cites this paper.

The Shape of Reasoning: Topological Analysis of Reasoning Traces in Large Language Models A Survey of Reasoning with Foundation Models

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-22T13:04:52.456811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T13:04:42.614541Z digest=sha256:8f3cad1a612b431b58e3a599e254901720fdb849920e3de611bcf78099890953

Observation 6b9da23d-1254-4d0c-8019-e89b603fde5f · inbound

The Shape of Reasoning: Topological Analysis of Reasoning Traces in Large Language Models cites this paper.

The Shape of Reasoning: Topological Analysis of Reasoning Traces in Large Language Models A Survey of Reasoning with Foundation Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-04T08:29:35.166876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:29:35.166876Z digest=sha256:9ea8f708e48a01aaecefaa02b7abc8e0584e5b4d12c4c8fc61cf6d0e51d83678

Observation 9346deee-cad6-4bab-bb59-f2f25a90b92b · inbound

Fishing Out Free Riders: Shapley-Based Reward Attribution for Parallel Reasoning via Reinforcement Learning cites this paper.

Fishing Out Free Riders: Shapley-Based Reward Attribution for Parallel Reasoning via Reinforcement Learning A Survey of Reasoning with Foundation Models

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-01T13:54:16.350216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T13:54:16.350216Z digest=sha256:781193a50d9bf47259cc0b761783ff7517dec0120e05cd795202d54c49d2df8c