Paper Citation Record · LEDGER

Understanding Emergent Abilities of Language Models from the Loss Perspective

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2403.15796.

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

pith.paper-citation-record.v1
2403.15796 v3

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 2026-08-09T06:31:02.800959+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:27:57.423803Z

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 c31e2163-919e-4684-958e-f1391d816486 · inbound

MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies cites this paper.

MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies Understanding Emergent Abilities of Language Models from the Loss Perspective

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T18:00:53.457262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e84ceb55-0f61-4ce1-b195-7ba48fdcab56 · inbound

Soup-of-Experts: Pretraining Specialist Models via Parameters Averaging cites this paper.

Soup-of-Experts: Pretraining Specialist Models via Parameters Averaging Understanding Emergent Abilities of Language Models from the Loss Perspective

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-09T14:27:57.423803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a6eefdf-0aad-4e04-a859-e9f4de283a6b · inbound

SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model cites this paper.

SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model Understanding Emergent Abilities of Language Models from the Loss Perspective

Reference 168

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T17:30:02.937523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1b5153ba-a9e3-4f99-8924-8726896eb432 · inbound

LLMs on the Line: Data Determines Loss-to-Loss Scaling Laws cites this paper.

LLMs on the Line: Data Determines Loss-to-Loss Scaling Laws Understanding Emergent Abilities of Language Models from the Loss Perspective

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-23T02:52:27.109203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8dae9bd0-9a5c-419a-ba21-37e4a47687ba · inbound

Capability Salience Vector: Fine-grained Alignment of Loss and Capabilities for Downstream Task Scaling Law cites this paper.

Capability Salience Vector: Fine-grained Alignment of Loss and Capabilities for Downstream Task Scaling Law Understanding Emergent Abilities of Language Models from the Loss Perspective

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T00:42:00.296033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7fbd434-b4e6-48a5-9caf-54111cd0313b · inbound

AMix-1: A Pathway to Test-Time Scalable Protein Foundation Model cites this paper.

AMix-1: A Pathway to Test-Time Scalable Protein Foundation Model Understanding Emergent Abilities of Language Models from the Loss Perspective

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T18:16:47.823217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 743a70bc-e96e-4fe1-9ae3-8f5d5265b47f · inbound

Feature Learning in Linear-Width Two-Layer Networks: Two vs. One Step of Gradient Descent cites this paper.

Feature Learning in Linear-Width Two-Layer Networks: Two vs. One Step of Gradient Descent Understanding Emergent Abilities of Language Models from the Loss Perspective

Reference 213

Resolution: verified exact; arxiv_id, observed 2026-05-20T01:32:56.072235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation baebb411-75cc-44f2-bddd-99bcf941aa9b · inbound

Feature Learning in Linear-Width Two-Layer Networks: Two vs. One Step of Gradient Descent cites this paper.

Feature Learning in Linear-Width Two-Layer Networks: Two vs. One Step of Gradient Descent Understanding Emergent Abilities of Language Models from the Loss Perspective

Reference 213

Resolution: verified exact; arxiv_id, observed 2026-05-25T06:40:24.962878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f42199a4-1035-428f-9c13-99fc0995c091 · inbound

The Thermodynamic Costs of Simple Linear Regression cites this paper.

The Thermodynamic Costs of Simple Linear Regression Understanding Emergent Abilities of Language Models from the Loss Perspective

Reference 69

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T07:03:23.237151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 69de36b4-5800-460a-810d-8f6305cf4edb · inbound

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning cites this paper.

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning Understanding Emergent Abilities of Language Models from the Loss Perspective

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-07-04T09:59:44.688100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 527d4801-de94-4f6e-bbff-b3961bfd114c · inbound

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning cites this paper.

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning Understanding Emergent Abilities of Language Models from the Loss Perspective

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-07-01T18:55:59.667241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 586b36fa-c9c2-4a24-a13e-89909a3a01da · inbound

When transformers learn "impossible" languages, what do they learn? cites this paper.

When transformers learn "impossible" languages, what do they learn? Understanding Emergent Abilities of Language Models from the Loss Perspective

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-07-01T02:15:14.469922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2e698ea0-b7b7-4b00-8086-b84d28f5ab9f · inbound

Foundation Models for Astrophysics cites this paper.

Foundation Models for Astrophysics Understanding Emergent Abilities of Language Models from the Loss Perspective

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T04:31:48.703352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.