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Paper Citation Record · LEDGER

Large language models for artificial general intelligence (AGI): A survey of foundational principles and approaches

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2501.03151.

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

pith.paper-citation-record.v1
2501.03151 v1

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 2026-08-09T22:01:12.379376Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T05:26:39.871412Z

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 366f94cb-e09c-45d4-acc2-767cfb927243 · inbound

Language Games as the Pathway to Artificial Superhuman Intelligence cites this paper.

Language Games as the Pathway to Artificial Superhuman Intelligence Large language models for artificial general intelligence (AGI): A survey of foundational principles and approaches

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-09T22:01:12.379376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:01:12.379376Z digest=sha256:f010280729fa5c24881717b11fd8f0110a11b168688f563c3c39dc30b5c1061b

Observation 7a43b78c-7f06-4fa3-898e-11931d6141ef · inbound

The Jumping Reasoning Curve? Tracking the Evolution of Reasoning Performance in GPT-[n] and o-[n] Models on Multimodal Puzzles cites this paper.

The Jumping Reasoning Curve? Tracking the Evolution of Reasoning Performance in GPT-[n] and o-[n] Models on Multimodal Puzzles Large language models for artificial general intelligence (AGI): A survey of foundational principles and approaches

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-09T16:42:52.419901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:42:52.419901Z digest=sha256:9e7ffd67fcb9f2f009c332713d6462dadb2d03a34633cb5d4de81a84fca5840d

Observation b6a95003-4434-4e2f-9348-2dec0b53c6fe · inbound

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

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning Large language models for artificial general intelligence (AGI): A survey of foundational principles and approaches

Reference 137

Resolution
verified exact
arxiv_id, observed 2026-05-23T04:32:33.230990Z

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=2026-05-23T04:30:38.804702Z digest=sha256:d982c252bf1634355b3196a309ea5d62685aa61942afb3762a71256b219064bf

Observation 341a4542-2443-47c6-906f-4cc3dd2f31f1 · inbound

Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead cites this paper.

Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead Large language models for artificial general intelligence (AGI): A survey of foundational principles and approaches

Reference 262

Resolution
unresolved
no resolver link, observed 2026-08-06T21:36:43.811646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:43.811646Z digest=sha256:aa2ceb3a7a0395e589ecf39a0b35cc87bb4051320a8c72c73793cb210a208026

Observation 4f38a638-7fda-4596-ace9-af1c95b12e14 · inbound

Thinking Beyond Tokens: From Brain-Inspired Intelligence to Cognitive Foundations for Artificial General Intelligence and its Societal Impact cites this paper.

Thinking Beyond Tokens: From Brain-Inspired Intelligence to Cognitive Foundations for Artificial General Intelligence and its Societal Impact Large language models for artificial general intelligence (AGI): A survey of foundational principles and approaches

Reference 288

Resolution
unresolved
no resolver link, observed 2026-08-06T21:07:11.627149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:07:11.627149Z digest=sha256:af005a0d07402ad0bf7e8d405b122c448334e20fad97878bade8a14a98bdf4cc

Observation 8516c721-6dbd-4d5a-bc47-c406a8f06d19 · inbound

Reasoning-targeted Jailbreak Attacks on Large Reasoning Models via Semantic Triggers and Psychological Framing cites this paper.

Reasoning-targeted Jailbreak Attacks on Large Reasoning Models via Semantic Triggers and Psychological Framing Large language models for artificial general intelligence (AGI): A survey of foundational principles and approaches

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T09:08:26.284453Z

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=2026-05-10T08:24:43.494005Z digest=sha256:9f0c223fe449a2062c500d952fca11aab3c60fb8f8394b600d1ac3c0a12479af

Observation c88f74c1-cf69-4b31-a051-73008048d8c5 · inbound

DxPTA: An Architecture Design Space Exploration with Optical Dataflow-guided Strategy for HW/SW Co-Design of Photonic Transformer Accelerators cites this paper.

DxPTA: An Architecture Design Space Exploration with Optical Dataflow-guided Strategy for HW/SW Co-Design of Photonic Transformer Accelerators Large language models for artificial general intelligence (AGI): A survey of foundational principles and approaches

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T05:26:39.873179Z

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=2026-06-28T08:13:04.763453Z digest=sha256:5e72ecb72b81adfda383418b72af4f65f003e3b3ded344fa14f3afb3313928b2