Paper Citation Record · LEDGER

Parallel Scaling Law for Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2505.10475.

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

pith.paper-citation-record.v1
2505.10475 v1

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 2026-08-06T14:36:33.339509Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T23:35:07.254827Z

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 d9ef287e-212b-4d88-9dd4-2e3db15b1761 · inbound

System Report for CCL25-Eval Task 10: SRAG-MAV for Fine-Grained Chinese Hate Speech Recognition cites this paper.

System Report for CCL25-Eval Task 10: SRAG-MAV for Fine-Grained Chinese Hate Speech Recognition Parallel Scaling Law for Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T14:36:33.339509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86c53e88-b9b7-4736-9498-c8f3ad700b54 · inbound

Grove MoE: Towards Efficient and Superior MoE LLMs with Adjugate Experts cites this paper.

Grove MoE: Towards Efficient and Superior MoE LLMs with Adjugate Experts Parallel Scaling Law for Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T21:55:07.259301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8464fe0-7b75-4f41-a026-6aa7729b5837 · inbound

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute cites this paper.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute Parallel Scaling Law for Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T13:52:03.639253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0a77883-5ce6-4769-bffc-67145f1265dc · inbound

Video Parallel Scaling: Aggregating Diverse Frame Subsets for VideoLLMs cites this paper.

Video Parallel Scaling: Aggregating Diverse Frame Subsets for VideoLLMs Parallel Scaling Law for Language Models

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-18T18:36:44.187053Z

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 44c14fd2-3d28-4dee-ac4d-5e318028687c · inbound

Vec-LUT: Vector Table Lookup for Parallel Ultra-Low-Bit LLM Inference on Edge Devices cites this paper.

Vec-LUT: Vector Table Lookup for Parallel Ultra-Low-Bit LLM Inference on Edge Devices Parallel Scaling Law for Language Models

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:48:45.809804Z

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 0d7ac0bf-a7ba-4cc8-9980-3c0b2c23d10e · inbound

On the Overscaling Curse of Parallel Thinking: System Efficacy Contradicts Sample Efficiency cites this paper.

On the Overscaling Curse of Parallel Thinking: System Efficacy Contradicts Sample Efficiency Parallel Scaling Law for Language Models

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-16T10:40:51.377730Z

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 85ba890c-f556-41c4-83e5-7bdae37cad36 · inbound

Evaluation-driven Scaling for Scientific Discovery cites this paper.

Evaluation-driven Scaling for Scientific Discovery Parallel Scaling Law for Language Models

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:26:05.369634Z

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 8ba909a7-f7f4-430c-92de-a863fb278ea5 · inbound

Structured Recurrent Mixers for Massively Parallelized Sequence Generation cites this paper.

Structured Recurrent Mixers for Massively Parallelized Sequence Generation Parallel Scaling Law for Language Models

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:56:29.228324Z

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 2daf2c9d-56a2-4a70-adae-eb820af0c9f5 · inbound

Structured Recurrent Mixers for Massively Parallelized Sequence Generation cites this paper.

Structured Recurrent Mixers for Massively Parallelized Sequence Generation Parallel Scaling Law for Language Models

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-20T23:29:13.005444Z

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 7ce67c41-5046-43bd-bc66-016794d337a4 · inbound

Structured Recurrent Mixers for Massively Parallelized Sequence Generation cites this paper.

Structured Recurrent Mixers for Massively Parallelized Sequence Generation Parallel Scaling Law for Language Models

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-06-30T23:35:07.256259Z

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 f1b2d68f-55bd-40f8-83de-7aa5e11aa1be · inbound

Structured Recurrent Mixers for Massively Parallelized Sequence Generation cites this paper.

Structured Recurrent Mixers for Massively Parallelized Sequence Generation Parallel Scaling Law for Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T05:19:06.400737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad31ccb7-640f-4f04-a05d-cd0f1c3c74cb · inbound

A Readiness-Driven Runtime for Pipeline-Parallel Training under Runtime Variability cites this paper.

A Readiness-Driven Runtime for Pipeline-Parallel Training under Runtime Variability Parallel Scaling Law for Language Models

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-20T07:38:09.462627Z

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 67f495f4-0cb9-4803-8f3e-888f73ec96ef · inbound

cMoLLM at Scale: Horizontal Scaling Laws for Mixture-of-LLMs cites this paper.

cMoLLM at Scale: Horizontal Scaling Laws for Mixture-of-LLMs Parallel Scaling Law for Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T12:12:35.629644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.