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Paper Citation Record · LEDGER

Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2307.02477.

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

pith.paper-citation-record.v1
2307.02477 v3

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 2026-08-08T06:32:00.761636+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T22:12:50.234654Z

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

18
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 bc2dccdf-d5c3-42fd-9e58-6dd7403b02ab · inbound

CodeMind: Evaluating Large Language Models for Code Reasoning cites this paper.

CodeMind: Evaluating Large Language Models for Code Reasoning Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-24T03:55:59.724114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-24T03:53:55.964755Z digest=sha256:623c5f4a6f610a7bf9d0c38b28b091dcf05269d81b00a87e5e64947912434e17

Observation 62556a23-cace-46bc-8bd7-288500d2566c · inbound

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code cites this paper.

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks

Reference 83

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T17:34:43.061781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-10T17:34:42.565806Z digest=sha256:6c054756ce403439f3fcd83b7e08aa23fd968c91ae2b913cf70ad87c0c125774

Observation 7c070b59-3f4c-41e0-b02b-0124c0af69c5 · inbound

When Do Neural Networks Learn World Models? cites this paper.

When Do Neural Networks Learn World Models? Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-07T22:12:50.234654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T22:12:50.234654Z digest=sha256:db7a6e818339f82ca7ce6c061418f15037710f4ed66d3a100d71c85dc5a9ffa8

Observation bb29bb42-4472-487b-8b80-686ea9d74086 · inbound

DrVD-Bench: Do Vision-Language Models Reason Like Human Doctors in Medical Image Diagnosis? cites this paper.

DrVD-Bench: Do Vision-Language Models Reason Like Human Doctors in Medical Image Diagnosis? Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:12.114973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:35:12.114973Z digest=sha256:50aba32d983c05c6d7aa3a649af146feb62d87b10ce1a0a8204c880bb7cebe14

Observation 348c9fc5-24dc-48f0-9148-e211ba1f9b8c · inbound

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

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-06T22:36:25.165193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:36:25.165193Z digest=sha256:46201e1927b1d0f0ea227283151d978ad4c06992605457dd96395124a83b04fa

Observation 0f37452d-96db-4374-a55d-dd9ebd2a7fa8 · inbound

Assessing Coherency and Consistency of Code Execution Reasoning by Large Language Models cites this paper.

Assessing Coherency and Consistency of Code Execution Reasoning by Large Language Models Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-18T06:00:57.202752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T05:59:00.400429Z digest=sha256:1216d826f096dcdbe27c8ab75321665e007ac7c3dbd48f540a9f8021aad57ab4

Observation 934dde8a-37b4-41c8-8e43-43025358ee8d · inbound

Towards Enabling An Artificial Self-Construction Software Life-cycle via Autopoietic Architectures cites this paper.

Towards Enabling An Artificial Self-Construction Software Life-cycle via Autopoietic Architectures Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks

Reference 67

Resolution
verified exact
arxiv_id, observed 2026-05-10T12:45:23.463395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T12:43:14.903173Z digest=sha256:8d479953278677aed2aa3f3c8a621c339231cdcfa68bb208170dfb0e646e8d01

Observation 6f1e6424-c511-461c-b745-9f61eaa03f69 · inbound

Rethinking Dense Sequential Chains: Reasoning Language Models Can Extract Answers from Sparse, Order-Shuffling Chain-of-Thoughts cites this paper.

Rethinking Dense Sequential Chains: Reasoning Language Models Can Extract Answers from Sparse, Order-Shuffling Chain-of-Thoughts Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks

Reference 19

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T03:50:57.407403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-11T02:11:19.295354Z digest=sha256:a3763c2e6dd646034bc919d21c0a3f89cbcb1be631c3dcc283a210737f54b420

Observation 5fa8a140-b3c5-4625-b317-12fc078b4972 · inbound

Consistency Training while Mitigating Obfuscation via Rate Matching cites this paper.

Consistency Training while Mitigating Obfuscation via Rate Matching Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks

Reference 71

Resolution
verified exact
arxiv_id, observed 2026-06-28T14:32:18.024087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-28T14:25:43.147442Z digest=sha256:16a12984d8437854ad0bc046d30715997e3b4a7852c97836abadb6388d6064af

Observation 6ef97197-df16-45ad-a0e0-1cd392c09bb8 · inbound

DICE: Entropy-Regularized Equilibrium Selection for Stable Multi-Agent LLM Coordination cites this paper.

DICE: Entropy-Regularized Equilibrium Selection for Stable Multi-Agent LLM Coordination Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks

Reference 70

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T20:57:23.994598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T19:58:32.016341Z digest=sha256:0c1b621344f29a735bb0c68efec99d699c1a54f9e2f871dbbf00f22ac4ab257b

Observation 1733969a-8cd5-4930-9094-42d7c728d6de · inbound

The CRISTAL Method: Neurosymbolic analysis from AI-synthesized world models cites this paper.

The CRISTAL Method: Neurosymbolic analysis from AI-synthesized world models Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T06:44:18.978102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T06:40:40.776789Z digest=sha256:ebb3ef8fd07444d833e62fca7cb34757d743784199699cfc60aa1da49fa0ce3f

Observation f43aec6a-2efa-4036-9afe-fa959a6a4af9 · inbound

Testing Frontier Large Language Models' Physics Literacy in Parallel Physical Worlds cites this paper.

Testing Frontier Large Language Models' Physics Literacy in Parallel Physical Worlds Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-07-02T19:27:18.684825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-07-02T19:18:43.558804Z digest=sha256:64836e17712079945c96e22ad3cc9c891e8fc7620c47524f6e2cc3f703936832