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Paper Citation Record · LEDGER

Lightweight Safety Classification Using Pruned Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2412.13435.

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

pith.paper-citation-record.v1
2412.13435 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:39:05.411301Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T11:53:03.579380Z

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 ee88e6a9-22ce-4327-a24b-2bb1a5ca65e8 · inbound

Disentangled Safety Adapters Enable Efficient Guardrails and Flexible Inference-Time Alignment cites this paper.

Disentangled Safety Adapters Enable Efficient Guardrails and Flexible Inference-Time Alignment Lightweight Safety Classification Using Pruned Language Models

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-19T11:53:03.580813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T11:52:36.688263Z digest=sha256:db53b2091490fd661577db303ea80a9d7a8ab27547fecf8ada26df6c14edbc97

Observation 476a462b-a819-46aa-a5cd-fd0632411bc6 · inbound

PUMA: Layer-Pruned Language Model for Efficient Unified Multimodal Retrieval with Modality-Adaptive Learning cites this paper.

PUMA: Layer-Pruned Language Model for Efficient Unified Multimodal Retrieval with Modality-Adaptive Learning Lightweight Safety Classification Using Pruned Language Models

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-06T18:39:05.411301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:39:05.411301Z digest=sha256:610486b2e6c19df14a88443e14fdb139939aea57b8369f10db417e66dc61b21a

Observation 9b434071-60ab-45dd-94a1-f0891d6c830a · inbound

LLM Safety From Within: Detecting Harmful Content with Internal Representations cites this paper.

LLM Safety From Within: Detecting Harmful Content with Internal Representations Lightweight Safety Classification Using Pruned Language Models

Reference 45

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T12:20:23.025851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T04:33:54.058475Z digest=sha256:5606065099190a52c521de158e3e86a98432bd3bd7ba1d1ee7771099e3c5c9be