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Paper Citation Record · LEDGER

Paloma: A Benchmark for Evaluating Language Model Fit

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2312.10523.

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

pith.paper-citation-record.v1
2312.10523 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:32:32.328243Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T06:47:39.565118Z

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 38da2ee5-e9f7-4bf4-b944-8911cde9e30e · inbound

The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale cites this paper.

The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale Paloma: A Benchmark for Evaluating Language Model Fit

Reference 72

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T04:36:45.470875Z

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=2026-05-13T04:36:45.363131Z digest=sha256:370142aeb28d6f04855b883a6cb011b8e4ae38fd65f9f4da9431164c2a4ddf68

Observation 92ddbf3e-bee2-4931-9114-54a9fb75ada9 · inbound

SEDD: Scalable and Efficient Dataset Deduplication with GPUs cites this paper.

SEDD: Scalable and Efficient Dataset Deduplication with GPUs Paloma: A Benchmark for Evaluating Language Model Fit

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-23T06:47:39.568886Z

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=2026-05-23T06:45:53.685914Z digest=sha256:444f90f502a80d2a79fc9c03555a430c01fd7dc8f5f876ed3d3c4b0a3ae95630

Observation b4c218e1-c0d2-44ec-9db0-abb429d0eee4 · inbound

BehaviorBox: Automated Discovery of Fine-Grained Performance Differences Between Language Models cites this paper.

BehaviorBox: Automated Discovery of Fine-Grained Performance Differences Between Language Models Paloma: A Benchmark for Evaluating Language Model Fit

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T11:32:32.328243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:32:32.328243Z digest=sha256:ca727b6eb9e1549a63f3fc89df92c8aeb8c27fc48c8bcaba74d22ba062989d7d

Observation b5d9cf26-1b55-47ec-b814-6e278a268e92 · inbound

Training Dynamics Underlying Language Model Scaling Laws: Loss Deceleration and Zero-Sum Learning cites this paper.

Training Dynamics Underlying Language Model Scaling Laws: Loss Deceleration and Zero-Sum Learning Paloma: A Benchmark for Evaluating Language Model Fit

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T10:31:20.450742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:31:20.450742Z digest=sha256:93d4f73cd6a397bf752c038cdb1848327fb5eb5047333fb16e43c3596ec96d26

Observation fc4d70ed-606d-49ec-90ee-1eeacf577004 · inbound

Finite-Size Gradient Transport in Large Language Model Pretraining: From Cascade Size to Intensive Transport Efficiency cites this paper.

Finite-Size Gradient Transport in Large Language Model Pretraining: From Cascade Size to Intensive Transport Efficiency Paloma: A Benchmark for Evaluating Language Model Fit

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:31:03.653921Z

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=2026-05-10T14:47:47.383941Z digest=sha256:df58902ed44712037d6d1b6550845c53b499f8df20e2859cc78dc68aeedb0153

Observation 59d45f63-792b-4999-9f69-104dc38ca50b · inbound

SDG-MoE: Signed Debate Graph Mixture-of-Experts cites this paper.

SDG-MoE: Signed Debate Graph Mixture-of-Experts Paloma: A Benchmark for Evaluating Language Model Fit

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T08:06:26.403015Z

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=2026-05-12T01:20:48.313702Z digest=sha256:5a185e8b6eac97de4ea0134a9a3c3ba8e404efbc1c7e3d5cc29bc9c9b034b15a

Observation db6d2f7b-5ce1-4ee7-ad93-57fadcdc7683 · inbound

SDG-MoE: Signed Debate Graph Mixture-of-Experts cites this paper.

SDG-MoE: Signed Debate Graph Mixture-of-Experts Paloma: A Benchmark for Evaluating Language Model Fit

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T07:22:28.401178Z

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=2026-05-13T07:21:44.772644Z digest=sha256:2ccbd7c8a877b980c4e611805d9977d75f0aa0eb670106ed0a2a96ad2526ee3a