Paper Citation Record · LEDGER

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

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 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 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:06:51.067338Z

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 22760f65-963c-4a7c-98d9-e29b8cac525e · inbound

Beyond the Binary: Capturing Diverse Preferences With Reward Regularization cites this paper.

Beyond the Binary: Capturing Diverse Preferences With Reward Regularization How Far Are We From AGI: Are LLMs All We Need?

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T22:06:51.067338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08ea16b2-5219-45f0-a256-1985a1867276 · inbound

MageBench: Bridging Large Multimodal Models to Agents cites this paper.

MageBench: Bridging Large Multimodal Models to Agents How Far Are We From AGI: Are LLMs All We Need?

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T21:36:09.054368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4c138d3-18b3-47be-86bf-8e4051dbe05f · inbound

Towards Friendly AI: A Comprehensive Review and New Perspectives on Human-AI Alignment cites this paper.

Towards Friendly AI: A Comprehensive Review and New Perspectives on Human-AI Alignment How Far Are We From AGI: Are LLMs All We Need?

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T11:38:34.751584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e40e559c-3a43-45ed-b396-ef5a9c6e507a · inbound

Unveiling the Mystery of Weight in Large Foundation Models: Gaussian Distribution Never Fades cites this paper.

Unveiling the Mystery of Weight in Large Foundation Models: Gaussian Distribution Never Fades How Far Are We From AGI: Are LLMs All We Need?

Reference 1126

Resolution: unresolved; no resolver link, observed 2026-08-10T19:20:24.121621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9d84a16-42e1-4594-9e4b-de03e294fb8b · inbound

High-Order Matching for One-Step Shortcut Diffusion Models cites this paper.

High-Order Matching for One-Step Shortcut Diffusion Models How Far Are We From AGI: Are LLMs All We Need?

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-09T18:10:53.027667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1afb1e5c-3e4f-4a51-9223-9c80ed6df62e · inbound

Speculative Prefill: Turbocharging TTFT with Lightweight and Training-Free Token Importance Estimation cites this paper.

Speculative Prefill: Turbocharging TTFT with Lightweight and Training-Free Token Importance Estimation How Far Are We From AGI: Are LLMs All We Need?

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T11:11:17.652509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-16T06:30:59.297886+00:00.

Observation b68c4d47-42fe-401b-b8fb-cc16cbcbf872 · inbound

Artificial General Intelligence and the End of Human Employment: The Need to Renegotiate the Social Contract cites this paper.

Artificial General Intelligence and the End of Human Employment: The Need to Renegotiate the Social Contract How Far Are We From AGI: Are LLMs All We Need?

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-08T13:58:32.022684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-16T06:30:59.297886+00:00.