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Paper Citation Record · LEDGER

Revisiting Anthropomorphic Reflection Markers in Large Language Model Reasoning

As of 24 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 0 inbound Pith citation observations for arXiv:2605.28305.

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

pith.paper-citation-record.v1
2605.28305 v1

Coverage vector

measured 7 of 7 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T13:13:58.553990Z

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

7 of 7 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2532019a-8850-41be-b5c8-9a44dd9ecdb7 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Revisiting Anthropomorphic Reflection Markers in Large Language Model Reasoning Training Verifiers to Solve Math Word Problems

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-06-29T13:23:28.424045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-29T13:13:58.553990Z digest=sha256:d3e1a9b686269b01b78caa68de7f37f4a853213ab004a035fb8b98b8d2a5b7d7

Observation 32f8fc20-b427-4529-a6ee-72e133f391af · outbound

This paper cites Thought Manipulation: External Thought Can Be Efficient for Large Reasoning Models.

Revisiting Anthropomorphic Reflection Markers in Large Language Model Reasoning Thought Manipulation: External Thought Can Be Efficient for Large Reasoning Models

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T13:23:28.419214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-29T13:13:58.553990Z digest=sha256:af41a6e74bb0274c1d0c76033f024c251e97b9104c74936204b9139b2eaece60

Observation 79322235-48fa-4992-93fb-25d807a53949 · outbound

This paper cites OpenAI GPT-5 System Card.

Revisiting Anthropomorphic Reflection Markers in Large Language Model Reasoning OpenAI GPT-5 System Card

Reference 3

Resolution
metadata mismatch
local_arxiv, observed 2026-06-29T13:23:28.416613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-29T13:13:58.553990Z digest=sha256:3c08ad7a94e00c384f76864469c4ebe6f8fc2f0f2b1e07812393e95b80d6f6e1

Observation d0168d25-df8f-4b30-839a-2867df7cff3b · outbound

This paper cites Kimi k1.5: Scaling Reinforcement Learning with LLMs.

Revisiting Anthropomorphic Reflection Markers in Large Language Model Reasoning Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 4

Resolution
metadata mismatch
local_arxiv, observed 2026-06-29T13:23:28.421682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-29T13:13:58.553990Z digest=sha256:616a211034d56870b5005d98f24e48ab49cf5c3bc872cd8bf1859cbc7a9c2117

Observation a920a123-fa6d-4fd2-b28c-ce62d2ede23f · outbound

This paper cites Wait, We Don't Need to "Wait"! Removing Thinking Tokens Improves Reasoning Efficiency.

Revisiting Anthropomorphic Reflection Markers in Large Language Model Reasoning Wait, We Don't Need to "Wait"! Removing Thinking Tokens Improves Reasoning Efficiency

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T13:23:28.426570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-29T13:13:58.553990Z digest=sha256:dd613327c6effa077ceb564e5c8551b627a61db4c2766cda0bc7916e9670f6ee

Observation e3f6ad8a-5962-4b77-8fe2-6c0023a135af · outbound

This paper cites Chain of Draft: Thinking Faster by Writing Less.

Revisiting Anthropomorphic Reflection Markers in Large Language Model Reasoning Chain of Draft: Thinking Faster by Writing Less

Reference 6

Resolution
malformed identifier
arxiv_id, observed 2026-06-29T13:23:28.429018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-29T13:13:58.553990Z digest=sha256:df0e5b309482ecb391c12fc5897c4730af9ff18ffd8df03163817e290f7e3b8d

Observation 3afd92b0-c7de-474b-93d8-bad4b0823f41 · outbound

This paper cites Which matches, so that’s correct.

Revisiting Anthropomorphic Reflection Markers in Large Language Model Reasoning Which matches, so that’s correct

Reference 7

Resolution
malformed identifier
no resolver link, observed 2026-06-29T13:13:58.553990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T13:13:58.553990Z digest=sha256:cf2df3ee545b0c5858f79715def355a7a471255773569e81686a06e4452f8ca1

Pith citing papers

No inbound Pith citation observations are available.