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Paper Citation Record · LEDGER

Neuron-Level Knowledge Attribution in Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2312.12141.

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

pith.paper-citation-record.v1
2312.12141 v4

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 2026-08-07T15:42:34.283123Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T22:20:47.846366Z

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 d89aa5e3-e998-4ded-83a3-412d9c8aa646 · inbound

Locate-then-Merge: Neuron-Level Parameter Fusion for Mitigating Catastrophic Forgetting in Multimodal LLMs cites this paper.

Locate-then-Merge: Neuron-Level Parameter Fusion for Mitigating Catastrophic Forgetting in Multimodal LLMs Neuron-Level Knowledge Attribution in Large Language Models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T15:01:17.699322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:01:17.699322Z digest=sha256:61aea0a7427a026367b3929dfc90c407d30d2408a183d56c90e2fe1e6aa490b0

Observation 5729fcf9-b6b0-4e6a-a4f9-8a32358e31cc · inbound

GloSS over Toxicity: Understanding and Mitigating Toxicity in LLMs via Global Toxic Subspace cites this paper.

GloSS over Toxicity: Understanding and Mitigating Toxicity in LLMs via Global Toxic Subspace Neuron-Level Knowledge Attribution in Large Language Models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:34.283123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:42:34.283123Z digest=sha256:c19f6d7ee82f956d041e5327aaaf26a7ade2a86385c1a798951cf10ecaf8d478

Observation ebcc04aa-7900-4401-943f-d8a1fbf5011b · inbound

NEAT: Concept driven Neuron Attribution in LLMs cites this paper.

NEAT: Concept driven Neuron Attribution in LLMs Neuron-Level Knowledge Attribution in Large Language Models

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-05T18:01:19.739333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:01:19.739333Z digest=sha256:224a3fc31a0e31e8a59821c7008d3c123ef09036e7e9166e14722849ec07c420

Observation 08ee7987-aa82-4295-9901-8e73a2139ff3 · inbound

DTRNet: Dynamic Token Routing Network to Reduce Quadratic Costs in Transformers cites this paper.

DTRNet: Dynamic Token Routing Network to Reduce Quadratic Costs in Transformers Neuron-Level Knowledge Attribution in Large Language Models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-05T13:15:07.186021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:15:07.186021Z digest=sha256:84d0e87dec0a48f7c7f5b1b93f24e4015a94eb52de5fac7816ca1fbbd5867dce

Observation 4dfe177d-100f-43ab-bfb8-b36f4e1a6bc4 · inbound

Saliency-R1: Enforcing Interpretable and Faithful Vision-language Reasoning via Saliency-map Alignment Reward cites this paper.

Saliency-R1: Enforcing Interpretable and Faithful Vision-language Reasoning via Saliency-map Alignment Reward Neuron-Level Knowledge Attribution in Large Language Models

Reference 86

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:20:47.851420Z

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=2026-05-10T19:59:19.379119Z digest=sha256:0c93ac9061b14877b312f9616248af455444662e372f3088548269a1491f5657