Paper Citation Record · LEDGER

How Far Are We From AGI: Are LLMs All We Need?

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2405.10313.

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

pith.paper-citation-record.v1
2405.10313 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T10:20:15.324793Z

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

1
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 c04ad3a7-5a20-46ee-b42c-821075ccf7fa · inbound

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

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning How Far Are We From AGI: Are LLMs All We Need?

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:32:32.797682Z

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.

Observation ad606014-34fc-4b33-9e72-72c995479969 · inbound

Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling cites this paper.

Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling How Far Are We From AGI: Are LLMs All We Need?

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-08T10:20:15.324793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14a5cac8-010e-4bc4-ace0-3a396af25a03 · inbound

Toward Embodied AGI: A Review of Embodied AI and the Road Ahead cites this paper.

Toward Embodied AGI: A Review of Embodied AI and the Road Ahead How Far Are We From AGI: Are LLMs All We Need?

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:08.287277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 364c6383-86cc-4d77-8d5f-e928fafe088c · inbound

RoboEgo System Card: An Omnimodal Model with Native Full Duplexity cites this paper.

RoboEgo System Card: An Omnimodal Model with Native Full Duplexity How Far Are We From AGI: Are LLMs All We Need?

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T11:37:29.434061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c109a60c-35f4-4498-8206-d91418ebabd6 · inbound

Are Large Language Models Capable of Deep Relational Reasoning? Insights from DeepSeek-R1 and Benchmark Comparisons cites this paper.

Are Large Language Models Capable of Deep Relational Reasoning? Insights from DeepSeek-R1 and Benchmark Comparisons How Far Are We From AGI: Are LLMs All We Need?

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T21:52:50.000709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56a5a746-682c-4bc8-b8bf-6b41f559a542 · inbound

The economic alignment problem of artificial intelligence cites this paper.

The economic alignment problem of artificial intelligence How Far Are We From AGI: Are LLMs All We Need?

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-15T19:46:32.565661Z

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.