Paper Citation Record · LEDGER

Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling?

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2207.10551.

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

pith.paper-citation-record.v1
2207.10551 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 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 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T12:44:23.847999Z

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

11
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 531a4e0d-1024-4c0e-9a46-b30274c20eab · inbound

Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them cites this paper.

Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling?

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T07:15:23.984689Z

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 b96dfbe5-d12b-4f37-8859-23606bad108f · inbound

Galactica: A Large Language Model for Science cites this paper.

Galactica: A Large Language Model for Science Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling?

Reference 87

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T05:53:21.904019Z

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 776ce921-32ac-4a27-8548-8d09bfd91d47 · inbound

Galactica: A Large Language Model for Science cites this paper.

Galactica: A Large Language Model for Science Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling?

Reference 242

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T05:53:22.269644Z

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 b32c63fd-d635-44c7-a9fa-9fa40e26b774 · inbound

BloombergGPT: A Large Language Model for Finance cites this paper.

BloombergGPT: A Large Language Model for Finance Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling?

Reference 115

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T23:19:46.831292Z

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 edc030bd-40a2-4385-8d13-8c702a40891a · inbound

Scaling Data-Constrained Language Models cites this paper.

Scaling Data-Constrained Language Models Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling?

Reference 112

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:35:21.391259Z

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 9da1a8cf-3915-47b9-8e82-7bbd451a39ae · inbound

Ring Attention with Blockwise Transformers for Near-Infinite Context cites this paper.

Ring Attention with Blockwise Transformers for Near-Infinite Context Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling?

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T19:28:28.302759Z

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 ab8a7820-db5f-433a-bdd8-39ce11b30718 · inbound

Recursive Inference Scaling: A Winning Path to Scalable Inference in Language and Multimodal Systems cites this paper.

Recursive Inference Scaling: A Winning Path to Scalable Inference in Language and Multimodal Systems Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling?

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-08T12:44:23.847999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7a117ce-40d3-4295-964f-33f6c7e87d9a · inbound

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model cites this paper.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling?

Reference 160

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T08:02:23.849613Z

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 91de4426-7f01-48ba-ad49-6892bf231d93 · 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 Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling?

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-23T02:52:27.033438Z

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 1847598e-65a0-4bbc-bcdf-6a5fbb07f201 · inbound

Tensorization is a powerful but underexplored tool for compression and interpretability of neural networks cites this paper.

Tensorization is a powerful but underexplored tool for compression and interpretability of neural networks Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling?

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:57.837541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75ab3d08-8b34-412b-9e88-1b4add3782ba · inbound

Scaling Laws for Robust Comparison of Open Foundation Language-Vision Models and Datasets cites this paper.

Scaling Laws for Robust Comparison of Open Foundation Language-Vision Models and Datasets Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling?

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T10:45:57.331326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52056a42-2b43-4545-b0cc-9698d8fbe696 · inbound

Most Transformer Modifications Still Do Not Transfer at 1-3B: A 2020-2026 Update to Narang et al. (2021) with Downstream Evaluation and a Noise Floor cites this paper.

Most Transformer Modifications Still Do Not Transfer at 1-3B: A 2020-2026 Update to Narang et al. (2021) with Downstream Evaluation and a Noise Floor Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling?

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-21T06:19:42.031676Z

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 b75ffaf5-2a34-4e04-aaf4-29fec6b9bb46 · inbound

Internal Data Repetition Destroys Language Models cites this paper.

Internal Data Repetition Destroys Language Models Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling?

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-07-04T16:49:57.905277Z

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 7759fafb-d600-4bfb-a3db-a563b902a8af · inbound

Can Transformers Really Do It All? On the Compatibility of Inductive Biases Across Tasks cites this paper.

Can Transformers Really Do It All? On the Compatibility of Inductive Biases Across Tasks Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling?

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-01T17:31:49.783233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.