Pith. sign in

Paper Citation Record · LEDGER

Why Representation Engineering Works: A Theoretical and Empirical Study in Vision-Language Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2503.22720.

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

pith.paper-citation-record.v1
2503.22720 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 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-16T22:28:41.134253Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T22:31:19.429329Z

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 a387182c-fde3-4f07-ba34-7829894501d9 · inbound

Rethinking Jailbreak Detection of Large Vision Language Models with Representational Contrastive Scoring cites this paper.

Rethinking Jailbreak Detection of Large Vision Language Models with Representational Contrastive Scoring Why Representation Engineering Works: A Theoretical and Empirical Study in Vision-Language Models

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-16T22:31:19.432269Z

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=2026-05-16T22:28:41.134253Z digest=sha256:63bf311442099a8c925f66faf2fc39f6fe0ada70f109e13fbacef391b7868b61

Observation 2642d876-3f06-467e-8fb4-eb248199796c · inbound

Why MLLMs Struggle to Determine Object Orientations cites this paper.

Why MLLMs Struggle to Determine Object Orientations Why Representation Engineering Works: A Theoretical and Empirical Study in Vision-Language Models

Reference 31

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T10:46:04.602193Z

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=2026-05-10T15:19:44.979076Z digest=sha256:92476a1b162f5d24b946146f52c0d77ef2e33bfaf252e4f5a7137880906b0228

Observation 59ef5cd9-6300-4cec-8ce9-b40854324709 · inbound

Dynamic Latent Routing cites this paper.

Dynamic Latent Routing Why Representation Engineering Works: A Theoretical and Empirical Study in Vision-Language Models

Reference 48

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T01:49:38.171364Z

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=2026-05-15T01:49:14.934586Z digest=sha256:46f24d4cc744a7620c49a3bd49a9e1ce7c6936e2e20c7fdf6a4ca8da812a06b1