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Paper Citation Record · LEDGER

AutoSurvey: Large Language Models Can Automatically Write Surveys

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2406.10252.

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

pith.paper-citation-record.v1
2406.10252 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 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 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T13:25:52.093810Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T17:48:45.715650Z

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 4f8c9338-b3c3-4e74-9d30-5c53582ba9ce · inbound

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery cites this paper.

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery AutoSurvey: Large Language Models Can Automatically Write Surveys

Reference 106

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:42:32.061424Z

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.

source=arxiv_source observed=2026-05-11T04:42:31.555355Z digest=sha256:e9a1ab3696ce046e082c718833c149fe8ddb0cb269bfd99a119c9ba52147d324

Observation c5c6330c-68e2-4a0a-9993-108d67642d24 · inbound

LongDPO: Unlock Better Long-form Generation Abilities for LLMs via Critique-augmented Stepwise Information cites this paper.

LongDPO: Unlock Better Long-form Generation Abilities for LLMs via Critique-augmented Stepwise Information AutoSurvey: Large Language Models Can Automatically Write Surveys

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-09T13:25:52.093810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:25:52.093810Z digest=sha256:ff82bfbba1912f8c77d2443024648e59225b52644268d2c5117bbc170cead314

Observation bd6cf409-b727-4a20-ab82-01ab4ab4c00b · inbound

Automated Capability Discovery via Foundation Model Self-Exploration cites this paper.

Automated Capability Discovery via Foundation Model Self-Exploration AutoSurvey: Large Language Models Can Automatically Write Surveys

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-08T12:17:55.380271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:17:55.380271Z digest=sha256:25edc74a942bea46bf179f62e7a27d43b986c6aaec0fb4f51848008c0d4fecb3

Observation d10418df-6aa4-4e92-a369-1746220fd672 · inbound

Select, Read, and Write: A Multi-Agent Framework of Full-Text-based Related Work Generation cites this paper.

Select, Read, and Write: A Multi-Agent Framework of Full-Text-based Related Work Generation AutoSurvey: Large Language Models Can Automatically Write Surveys

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T14:13:31.571994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:13:31.571994Z digest=sha256:21d67237bbf3639af45534122a9455efc094f27a02f4a454c4454267fba2d59c

Observation 91e87640-c197-40d5-90e9-cb0b0bfaf6d9 · inbound

CogGen: A Cognitively Inspired Recursive Framework for Deep Research Report Generation cites this paper.

CogGen: A Cognitively Inspired Recursive Framework for Deep Research Report Generation AutoSurvey: Large Language Models Can Automatically Write Surveys

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T06:51:45.763160Z

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.

source=pdf_text observed=2026-05-10T06:51:39.549757Z digest=sha256:151bc8896b1565540ef83cd6ea69baf7ec5d58b4deac3111ce7866f5d48697f4

Observation de3fb9aa-4f8b-4e79-9695-ec1aef1272fb · inbound

AI for Auto-Research: Roadmap & User Guide cites this paper.

AI for Auto-Research: Roadmap & User Guide AutoSurvey: Large Language Models Can Automatically Write Surveys

Reference 215

Resolution
verified exact
arxiv_id, observed 2026-05-20T10:33:12.789575Z

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.

source=pdf_text observed=2026-05-20T10:30:50.256635Z digest=sha256:d13c41bc0dbb52ae94b96144984210ce9206faddd5d5100544f8a6698569a514

Observation 0482c921-f8be-4857-be71-ca74f09827de · inbound

AI for Auto-Research: Roadmap & User Guide cites this paper.

AI for Auto-Research: Roadmap & User Guide AutoSurvey: Large Language Models Can Automatically Write Surveys

Reference 214

Resolution
unresolved
no resolver link, observed 2026-08-02T13:43:49.345571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:43:49.345571Z digest=sha256:234e1ce7b27f8a51202d178603f186c2fcc2c7ce50e12d54fac525996da5efb1

Observation af844988-37e6-4f53-ad17-c94d1f8fa355 · inbound

DeepSurvey: Enhancing Analytical Depth and Citation Reliability in Automated Survey Generation cites this paper.

DeepSurvey: Enhancing Analytical Depth and Citation Reliability in Automated Survey Generation AutoSurvey: Large Language Models Can Automatically Write Surveys

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-06-29T07:13:16.158782Z

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.

source=pdf_text observed=2026-06-29T07:12:13.559728Z digest=sha256:460191c2d9a05cbe53499003da7cc24af4a9ab34a0617895bcf0364c1e04a092

Observation efc59a17-ab84-4f95-a0aa-95831462768a · inbound

MetaSyn: A Benchmark for LLM Agents on Meta-Analysis Articles from Nature Portfolio cites this paper.

MetaSyn: A Benchmark for LLM Agents on Meta-Analysis Articles from Nature Portfolio AutoSurvey: Large Language Models Can Automatically Write Surveys

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-07-03T17:48:45.717289Z

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.

source=pdf_text observed=2026-06-27T03:48:51.497061Z digest=sha256:edf51330511078a40d8c6482499aa9618fdda1f408c7da0c4f1ecd023693130d

Observation bf1d1a96-24e7-4ed3-8030-1154fff8b96a · inbound

MetaSyn: A Benchmark for LLM Agents on Meta-Analysis Articles from Nature Portfolio cites this paper.

MetaSyn: A Benchmark for LLM Agents on Meta-Analysis Articles from Nature Portfolio AutoSurvey: Large Language Models Can Automatically Write Surveys

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-06-30T11:54:38.896133Z

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.

source=pdf_text observed=2026-06-30T10:23:03.764108Z digest=sha256:67b1a28ffa6dc1c76128a0c4e57d5841499826ac2bb72056997e31b1a7350412

Observation f13f8e24-c139-472f-ba1d-bac63f71b79d · inbound

MetaSyn: A Benchmark for LLM Agents on Meta-Analysis Articles from Nature Portfolio cites this paper.

MetaSyn: A Benchmark for LLM Agents on Meta-Analysis Articles from Nature Portfolio AutoSurvey: Large Language Models Can Automatically Write Surveys

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-07-02T22:07:25.731963Z

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.

source=pdf_text observed=2026-07-02T22:05:37.948336Z digest=sha256:16531e1e13a6d08b45443e57dc02dbc0e17d22c21d5b54b5dd4e8a09fceb491d

Observation fa3d9104-fbd3-45ce-8887-c1bfed05a06f · inbound

MetaSyn: A Benchmark for LLM Agents on Meta-Analysis Articles from Nature Portfolio cites this paper.

MetaSyn: A Benchmark for LLM Agents on Meta-Analysis Articles from Nature Portfolio AutoSurvey: Large Language Models Can Automatically Write Surveys

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-02T11:08:49.074549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:08:49.074549Z digest=sha256:edccf263da4a6c9da222be4689291e673ca34fff4b9ec42be93106c84c8a34b9

Observation b6892c4b-2b26-4414-aedd-a70eee7a6e31 · inbound

RWGBench: Evaluating Scholarly Positioning in Related Work Generation cites this paper.

RWGBench: Evaluating Scholarly Positioning in Related Work Generation AutoSurvey: Large Language Models Can Automatically Write Surveys

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-06-28T17:42:25.897514Z

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.

source=pdf_text observed=2026-06-28T17:41:09.141208Z digest=sha256:db5f1ca39908f6c81c453ee4faaacb99964ff3de06bd7912189b9b944d24b730

Observation 582ba377-fe80-4655-8acb-26c13d35e2f5 · inbound

RWGBench: Evaluating Scholarly Positioning in Related Work Generation cites this paper.

RWGBench: Evaluating Scholarly Positioning in Related Work Generation AutoSurvey: Large Language Models Can Automatically Write Surveys

Reference 61

Resolution
unresolved
no resolver link, observed 2026-07-12T15:28:38.440688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T15:28:38.440688Z digest=sha256:69b1e3a9a2b1d75ee677c519d820e84b6d0b2dbb74a029f45853e1daf894c13a

Observation b742333b-2698-48d3-9708-1254cc84749e · inbound

RWGBench: Evaluating Scholarly Positioning in Related Work Generation cites this paper.

RWGBench: Evaluating Scholarly Positioning in Related Work Generation AutoSurvey: Large Language Models Can Automatically Write Surveys

Reference 61

Resolution
unresolved
no resolver link, observed 2026-07-14T18:37:13.680462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T18:37:13.680462Z digest=sha256:b458414b24895ad47fde3b07ba6bb06b43fcc8783908b50a234d7addb90ff3ea

Observation f885abd4-1f8e-425c-8a2a-c0b6ee8db187 · inbound

RWGBench: Evaluating Scholarly Positioning in Related Work Generation cites this paper.

RWGBench: Evaluating Scholarly Positioning in Related Work Generation AutoSurvey: Large Language Models Can Automatically Write Surveys

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-02T12:42:28.662784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:42:28.662784Z digest=sha256:3af21e123c1960240fa45807a17da5d4807882ce4e9c19729891c0a5b57de26d