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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 5 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 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:42:08.287277Z

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.

source=arxiv_source observed=2026-05-23T04:30:38.804702Z digest=sha256:2a83b75d0e16ba65fa48049ba31cde7a48c66b6e1d67cfff8ab1d54c45bfd5bc

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.

source=arxiv_source observed=2026-08-07T15:42:08.287277Z digest=sha256:5fef195bfda18d946ef63005a0caef5bd35b77e3edbf1df9e8db66e21b0a70a1

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.

source=pdf_text observed=2026-08-07T11:37:29.434061Z digest=sha256:a4ab77cdf3fa85aa5b4c39caefa0e93019a1b40172f57bcca2194958a31342a9

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.

source=pdf_text observed=2026-08-06T21:52:50.000709Z digest=sha256:733e7c584fd2d5075996e80b5371e7559032bff98cfd33260783cae709381eb5

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.

source=pdf_text observed=2026-05-15T19:46:23.020248Z digest=sha256:099786c4b7f3dcc992e70f9d4790bdc113e772f5d1503f06df8eb67fcc3b74ae