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Paper Citation Record · LEDGER

Instilling Inductive Biases with Subnetworks

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.10899.

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

pith.paper-citation-record.v1
2310.10899 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:14:27.001833Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T13:14:28.812348Z

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 7ce8af13-93b6-4638-bbba-024f6a8d03df · inbound

Transformers Pretrained on Procedural Data Contain Modular Structures for Algorithmic Reasoning cites this paper.

Transformers Pretrained on Procedural Data Contain Modular Structures for Algorithmic Reasoning Instilling Inductive Biases with Subnetworks

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:14:28.911580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:14:27.001833Z digest=sha256:82bcb55f21e39bccfad047ca9bc9cde5100ba509c391e9ccc6f5eb3564ee51d2

Observation bdb06c04-06f9-47f0-aa25-5626dbb2346b · inbound

Procedural Pretraining: Warming Up Language Models with Abstract Data cites this paper.

Procedural Pretraining: Warming Up Language Models with Abstract Data Instilling Inductive Biases with Subnetworks

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-03T06:55:10.127933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:55:10.127933Z digest=sha256:e1fe0e175e7ff38bfcf22910476f1ec275d55ebcf316b61a27d05cfff5082a07