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Paper Citation Record · LEDGER

The Quantization Model of Neural Scaling

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2303.13506.

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

pith.paper-citation-record.v1
2303.13506 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 2026-08-12T06:34:41.77262+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:17:23.261407Z

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

8
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 2a1053a2-a712-4875-81ac-67b10aa56481 · inbound

Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks cites this paper.

Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks The Quantization Model of Neural Scaling

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-11T15:17:23.261407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:17:23.261407Z digest=sha256:e330fccfc423236f379484fb95d5af504c5541fa0388bfc3dbaadc7b5fb8537c

Observation fadf4aad-8399-4619-8291-20941ad88368 · inbound

Interpretability in Parameter Space: Minimizing Mechanistic Description Length with Attribution-based Parameter Decomposition cites this paper.

Interpretability in Parameter Space: Minimizing Mechanistic Description Length with Attribution-based Parameter Decomposition The Quantization Model of Neural Scaling

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-10T14:55:02.139710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:55:02.139710Z digest=sha256:84604ea4e5f6c1e30cfa25e94328ac053cb6c05eb6cdaceb59035e679941449d

Observation f0241cbe-04b2-4060-a40e-9de13a9bac7c · inbound

Decomposing Elements of Problem Solving: What "Math" Does RL Teach? cites this paper.

Decomposing Elements of Problem Solving: What "Math" Does RL Teach? The Quantization Model of Neural Scaling

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-07T13:05:29.453050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:05:29.453050Z digest=sha256:7ceda70671933ace811bdf2846cf7573943568ed9033af513cef60d8e4832cc9

Observation f59c1941-ee38-4b8d-ad20-1864b8a6bdf0 · inbound

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

X-Factor: Quality Is a Dataset-Intrinsic Property The Quantization Model of Neural Scaling

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T13:06:53.783280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:06:53.783280Z digest=sha256:779cc35b056dca054e3ed1562a4dc2549b60fd57ee7cade4aededb87e076a7a9

Observation dbf54a16-86dc-4167-9fa6-9c770eed2299 · inbound

Meek Models Shall Inherit the Earth cites this paper.

Meek Models Shall Inherit the Earth The Quantization Model of Neural Scaling

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T18:33:51.119617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:33:51.119617Z digest=sha256:d1fffe2469399e6d36dce99e68f338eceadedde92016d12eba87a22e35a98c38

Observation 5127f796-329e-4599-a7a9-9685ff4a2f2a · inbound

From Zipf's Law to Neural Scaling through Heaps' Law and Hilberg's Hypothesis cites this paper.

From Zipf's Law to Neural Scaling through Heaps' Law and Hilberg's Hypothesis The Quantization Model of Neural Scaling

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-03T16:34:38.066564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:34:38.066564Z digest=sha256:99cd321ac340fc166826cddfe4958e187278aacd451abd3aa4128da381ff0a5f

Observation 68bb8cba-2f95-4f49-878c-8e925fc705dd · inbound

The Long Delay to Arithmetic Generalization: When Learned Representations Outrun Behavior cites this paper.

The Long Delay to Arithmetic Generalization: When Learned Representations Outrun Behavior The Quantization Model of Neural Scaling

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:17:58.863423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-14T21:16:40.430384Z digest=sha256:f4c2d3d691b4a8525cc468d802170b3bc656cbe9e4d9f705a5becfcb818804d7

Observation f16a138d-7b36-471d-b32b-09d9742ed219 · inbound

Correcting Influence: Unboxing LLM Outputs with Orthogonal Latent Spaces cites this paper.

Correcting Influence: Unboxing LLM Outputs with Orthogonal Latent Spaces The Quantization Model of Neural Scaling

Reference 98

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T20:17:54.754021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-14T20:17:01.224864Z digest=sha256:4d7599c0f6eb5b2453e38b36b4a037b306ac7adc6ed181238ecba7c1b4e30d77

Observation 27cfb590-c569-4ed3-a8b9-f43f44b9dd64 · inbound

Emergent Capabilities Arise Randomly from Learning Sparse Attention Patterns cites this paper.

Emergent Capabilities Arise Randomly from Learning Sparse Attention Patterns The Quantization Model of Neural Scaling

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-07-04T17:29:59.849655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-06-25T23:43:20.900414Z digest=sha256:ba3b05ac641bbcfa8d6c3aa32ff58d935083b51ab4910bbaa7e81c336aa45e60