Paper Citation Record · LEDGER

When a language model is optimized for reasoning, does it still show embers of autoregression? An analysis of OpenAI o1

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2410.01792.

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

pith.paper-citation-record.v1
2410.01792 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T15:05:03.748959Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:49:18.525283Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

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 2302386f-7709-4609-9c30-d48663992896 · inbound

Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models cites this paper.

Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models When a language model is optimized for reasoning, does it still show embers of autoregression? An analysis of OpenAI o1

Reference 95

Resolution: verified exact; arxiv_id, observed 2026-05-15T21:20:59.472263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7705db8b-ab67-4e68-ac7d-5a08e843073e · inbound

What is a Number, That a Large Language Model May Know It? cites this paper.

What is a Number, That a Large Language Model May Know It? When a language model is optimized for reasoning, does it still show embers of autoregression? An analysis of OpenAI o1

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-09T15:05:03.748959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 399208c7-5170-466b-8ea5-eb96c11bda23 · inbound

Thinking beyond the anthropomorphic paradigm benefits LLM research cites this paper.

Thinking beyond the anthropomorphic paradigm benefits LLM research When a language model is optimized for reasoning, does it still show embers of autoregression? An analysis of OpenAI o1

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T22:21:52.630304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2dd51bc1-51da-4951-a2c5-44d7adb060dd · inbound

Beyond Statistical Learning: Exact Learning Is Essential for General Intelligence cites this paper.

Beyond Statistical Learning: Exact Learning Is Essential for General Intelligence When a language model is optimized for reasoning, does it still show embers of autoregression? An analysis of OpenAI o1

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T21:34:15.224943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e672dd68-2d49-42c3-b36a-dcad4d216dfa · inbound

DWDP: Distributed Weight Data Parallelism for High-Performance LLM Inference on NVL72 cites this paper.

DWDP: Distributed Weight Data Parallelism for High-Performance LLM Inference on NVL72 When a language model is optimized for reasoning, does it still show embers of autoregression? An analysis of OpenAI o1

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T21:28:17.583894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d61d9b82-5927-4029-967e-4dc0c9e9f71e · inbound

To See the Unseen: on the Generalization Ability of Transformers in Symbolic Reasoning cites this paper.

To See the Unseen: on the Generalization Ability of Transformers in Symbolic Reasoning When a language model is optimized for reasoning, does it still show embers of autoregression? An analysis of OpenAI o1

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-09T22:49:15.805891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fcafde93-4d5c-4ee1-9e56-9dd7b3f16b38 · inbound

Enhancing Decision-Making with Large Language Models through Multi-Agent Fictitious Play cites this paper.

Enhancing Decision-Making with Large Language Models through Multi-Agent Fictitious Play When a language model is optimized for reasoning, does it still show embers of autoregression? An analysis of OpenAI o1

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:49:18.527778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.