Paper Citation Record · LEDGER

Revisiting the Superficial Alignment Hypothesis

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2410.03717.

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

pith.paper-citation-record.v1
2410.03717 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:52:18.555302Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T10:37:57.169166Z

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 5136668f-fe2a-4634-ad02-69ff93888179 · inbound

What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding cites this paper.

What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding Revisiting the Superficial Alignment Hypothesis

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T05:52:18.555302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af46484a-fbb5-49e9-9ba0-6cad0dcc108c · inbound

Revisiting Robustness for LLM Safety Alignment via Selective Geometry Control cites this paper.

Revisiting Robustness for LLM Safety Alignment via Selective Geometry Control Revisiting the Superficial Alignment Hypothesis

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-22T11:21:28.987686Z

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.

Observation 44007f8e-2f26-4533-80e0-c3038f98f014 · inbound

Operationalising the Superficial Alignment Hypothesis via Task Complexity cites this paper.

Operationalising the Superficial Alignment Hypothesis via Task Complexity Revisiting the Superficial Alignment Hypothesis

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T22:49:15.323031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 096714f3-9f92-4906-8103-d3d49197e612 · inbound

ParaVT: Taming the Tool Prior Paradox for Parallel Tool Use in Agentic Video Reinforcement Learning cites this paper.

ParaVT: Taming the Tool Prior Paradox for Parallel Tool Use in Agentic Video Reinforcement Learning Revisiting the Superficial Alignment Hypothesis

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-21T07:34:02.637047Z

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.

Observation 318600d3-154c-4be7-b6a7-e1ddb14efdd7 · inbound

ParaVT: Taming the Tool Prior Paradox for Parallel Tool Use in Agentic Video Reinforcement Learning cites this paper.

ParaVT: Taming the Tool Prior Paradox for Parallel Tool Use in Agentic Video Reinforcement Learning Revisiting the Superficial Alignment Hypothesis

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-22T09:01:19.369543Z

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.

Observation e1e29d80-5282-45c2-9258-3b6a2abf2239 · inbound

Soft-Prompt Tuning for Fair and Efficient LLM Benchmark Evaluation cites this paper.

Soft-Prompt Tuning for Fair and Efficient LLM Benchmark Evaluation Revisiting the Superficial Alignment Hypothesis

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-07-03T10:37:57.170585Z

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.