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Paper Citation Record · LEDGER

pyvene: A Library for Understanding and Improving PyTorch Models via Interventions

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2403.07809.

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

pith.paper-citation-record.v1
2403.07809 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:56:23.700909Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:59:21.189215Z

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 5cd69a75-741c-4ee8-8b26-70958fa4e55a · inbound

Structured Pruning for Diverse Best-of-N Reasoning Optimization cites this paper.

Structured Pruning for Diverse Best-of-N Reasoning Optimization pyvene: A Library for Understanding and Improving PyTorch Models via Interventions

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T10:56:23.700909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:56:23.700909Z digest=sha256:58a9034ec415aa72038070c1aeaf0561e45b120ca0028f56f2f3f1c7c0aece1b

Observation 979e272c-86d7-4a6a-a427-b389965464dd · inbound

Fine-Grained Interpretation of Political Opinions in Large Language Models cites this paper.

Fine-Grained Interpretation of Political Opinions in Large Language Models pyvene: A Library for Understanding and Improving PyTorch Models via Interventions

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T10:40:16.892693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:40:16.892693Z digest=sha256:6e99184b08d67e6e87988e5a347c3c2a9bec355855cc48b67989e01aac558730

Observation 59350acb-0aec-4aa8-ab73-0e3ec09872d3 · inbound

eDIF: A European Deep Inference Fabric for Remote Interpretability of LLM cites this paper.

eDIF: A European Deep Inference Fabric for Remote Interpretability of LLM pyvene: A Library for Understanding and Improving PyTorch Models via Interventions

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-05T20:24:34.903518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:24:34.903518Z digest=sha256:9afdc6752393133dbbcba0332c5d5ccc0af3fdd15e872ea9662de5c77b10823f

Observation aada4440-e477-4574-8b59-fc870fd15e66 · inbound

Bucketing the Good Apples: A Method for Diagnosing and Improving Causal Abstraction cites this paper.

Bucketing the Good Apples: A Method for Diagnosing and Improving Causal Abstraction pyvene: A Library for Understanding and Improving PyTorch Models via Interventions

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:00:36.277602Z

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=2026-05-08T19:12:30.627633Z digest=sha256:c6703238674a3714bb4d7f32493da1b4e64852a0c6876e1af1dbbf525b57ff4a

Observation b3653f2a-cc7a-4d5b-a724-45933d6da4cf · inbound

Unsupervised Causal Abstractions Discovery cites this paper.

Unsupervised Causal Abstractions Discovery pyvene: A Library for Understanding and Improving PyTorch Models via Interventions

Reference 90

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T00:59:21.191741Z

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=2026-06-26T20:45:15.226889Z digest=sha256:261923da3d9fe0a36970defb8039f5e160d495a72272ac1b852d91774227a041