Pith. sign in

Paper Citation Record · LEDGER

Unraveling the Mystery of Scaling Laws: Part I

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2403.06563.

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

pith.paper-citation-record.v1
2403.06563 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:21:49.676047Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T01:26:24.153990Z

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 6140cea0-75ee-42cf-ad62-feac0f1759e2 · inbound

Adaptive Batch Size Schedules for Distributed Training of Language Models with Data and Model Parallelism cites this paper.

Adaptive Batch Size Schedules for Distributed Training of Language Models with Data and Model Parallelism Unraveling the Mystery of Scaling Laws: Part I

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-10T23:08:28.527070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:08:28.527070Z digest=sha256:f12d319babed5ae76bae8e2e39864cbaf1fc90eabc2b65eb5e0cc461dc7044e2

Observation 95e98ca3-b90c-4735-919f-e68b48da28cd · inbound

NExtLong: Toward Effective Long-Context Training without Long Documents cites this paper.

NExtLong: Toward Effective Long-Context Training without Long Documents Unraveling the Mystery of Scaling Laws: Part I

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-10T16:52:49.840436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:52:49.840436Z digest=sha256:5dab1147017b6a7e3799f6d9d0097a0c008223449a7c88efc52484127ce868c0

Observation b888589a-edab-4c13-83c9-95aeadb831cc · inbound

Auto-SLURP: A Benchmark Dataset for Evaluating Multi-Agent Frameworks in Smart Personal Assistant cites this paper.

Auto-SLURP: A Benchmark Dataset for Evaluating Multi-Agent Frameworks in Smart Personal Assistant Unraveling the Mystery of Scaling Laws: Part I

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-16T10:21:49.676047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:21:49.676047Z digest=sha256:9f483f9ebc37c66b82983b5a23092fe6efe33bc1f1dc6b261b9c9767252db87c

Observation 27451594-2771-4a11-b3df-fa618f815306 · inbound

X-Factor: Quality Is a Dataset-Intrinsic Property cites this paper.

X-Factor: Quality Is a Dataset-Intrinsic Property Unraveling the Mystery of Scaling Laws: Part I

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T13:06:53.913613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:06:53.913613Z digest=sha256:3517b2c85a95e2b3fcd35711ac7b02f09031d5d3528cef988db6bc29695cf42d

Observation 05fd7cb9-a587-4b8b-ae5b-cf5219a2e4ac · inbound

Predictable Scale: Part II, Farseer: A Refined Scaling Law in Large Language Models cites this paper.

Predictable Scale: Part II, Farseer: A Refined Scaling Law in Large Language Models Unraveling the Mystery of Scaling Laws: Part I

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T04:21:29.409224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:21:29.409224Z digest=sha256:a5ea9fe0d886c1aa353a047c774edfc8c301a36738b26340633e02bdd407309d

Observation 1fd97f3b-7b79-4986-bc5d-e941bd1876c4 · inbound

ViCA: Efficient Multimodal LLMs with Vision-Only Cross-Attention cites this paper.

ViCA: Efficient Multimodal LLMs with Vision-Only Cross-Attention Unraveling the Mystery of Scaling Laws: Part I

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-03T03:36:43.842782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:36:43.842782Z digest=sha256:f4d38a1dc6dfb9538694feb868c1fdf8366eaa59662f0c56097893610b03c26e

Observation 665006eb-196e-4080-a336-a54a9b45e039 · inbound

SkipOPU: An FPGA-based Overlay Processor for Large Language Models with Dynamically Allocated Computation cites this paper.

SkipOPU: An FPGA-based Overlay Processor for Large Language Models with Dynamically Allocated Computation Unraveling the Mystery of Scaling Laws: Part I

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-02T18:16:47.487186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T18:16:47.487186Z digest=sha256:7d9e3de81dfd760ad01eb44229c6f376a60a5d17c634060b73406d517fb8f503

Observation afcc0166-97ea-4779-b9fc-7e8d88324bd5 · inbound

DPA4: Pushing the Accuracy-Cost Frontier of Interatomic Potentials with EMFA SO(2) Convolution cites this paper.

DPA4: Pushing the Accuracy-Cost Frontier of Interatomic Potentials with EMFA SO(2) Convolution Unraveling the Mystery of Scaling Laws: Part I

Reference 283

Resolution
verified exact
arxiv_id, observed 2026-07-02T01:26:24.155486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-28T12:04:41.497247Z digest=sha256:ef192e1a123e8cb41d620b8727b0508961ea711ef91323e150ad37b9446f6e21

Observation 0db01f1b-bc40-4eef-9262-ae77c1608c9c · inbound

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models cites this paper.

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models Unraveling the Mystery of Scaling Laws: Part I

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-02T09:43:25.526240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T09:43:25.526240Z digest=sha256:da8fc01bc5bd2e7baf8d125ee69470551250b7e709651d61f26cdd74fe9163d7