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Paper Citation Record · LEDGER

Revisiting Model Stitching to Compare Neural Representations

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2106.07682.

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

pith.paper-citation-record.v1
2106.07682 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:50:04.555736Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

22
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 2c0372bf-5ea6-4ee8-96f5-8a715da02fff · inbound

Toward Aristotelian Medical Representations: Backpropagation-Free Layer-wise Analysis for Interpretable Generalized Metric Learning on MedMNIST cites this paper.

Toward Aristotelian Medical Representations: Backpropagation-Free Layer-wise Analysis for Interpretable Generalized Metric Learning on MedMNIST Revisiting Model Stitching to Compare Neural Representations

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T22:20:48.578135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T19:57:11.300830Z digest=sha256:d36a1704f74aa8e40d891db436819b8dd6c6d6f396b880783b8caaa9e3a6e6ef

Observation a32a4066-14df-465d-8fd3-4428e4b2d3e4 · inbound

Dead Weights, Live Signals: Feedforward Graphs of Frozen Language Models cites this paper.

Dead Weights, Live Signals: Feedforward Graphs of Frozen Language Models Revisiting Model Stitching to Compare Neural Representations

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:55:57.457104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T17:53:35.970156Z digest=sha256:98e685c531010c5ab091d7aa804d64107d2f167c58a0fecb645e2819c355e750

Observation 9c72a0c3-5b40-40f9-b34e-1724330f4bce · inbound

Compared to What? Baselines and Metrics for Counterfactual Prompting cites this paper.

Compared to What? Baselines and Metrics for Counterfactual Prompting Revisiting Model Stitching to Compare Neural Representations

Reference 78

Resolution
verified exact
arxiv_id, observed 2026-05-09T19:05:10.581309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-09T19:02:46.991897Z digest=sha256:6f5451d34ff95b424c95f9a9a42e092f859d4711c2d6daa677e736b4c596c258

Observation bf3f297c-9aab-41ef-ba0d-1cc3c66fabad · inbound

Transformer Field Theory: A Response-Theoretic Approach to Mechanistic Interpretability cites this paper.

Transformer Field Theory: A Response-Theoretic Approach to Mechanistic Interpretability Revisiting Model Stitching to Compare Neural Representations

Reference 26

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T12:04:38.244641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-30T11:58:53.868902Z digest=sha256:0d658e635f63177c51ac96e434083300ef9df29a21709290c185143e10d64029

Observation 9bb8398b-5117-4714-b642-01a8e64f0a8e · inbound

A Negative Result on Cross-Model Activation Transfer in a Pythia Multi-Hop Setting cites this paper.

A Negative Result on Cross-Model Activation Transfer in a Pythia Multi-Hop Setting Revisiting Model Stitching to Compare Neural Representations

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T03:36:29.783182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-28T09:52:58.807254Z digest=sha256:24be528da7ea8ae5cba2b866647a00593017ee46c75a44e5217e234d9525b6eb

Observation 2330b725-dafa-4af7-a5c3-e8844fe83355 · inbound

Channel Location Constrains the Auditability of Subliminal Learning cites this paper.

Channel Location Constrains the Auditability of Subliminal Learning Revisiting Model Stitching to Compare Neural Representations

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-07-04T08:19:44.418139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-26T11:52:03.948568Z digest=sha256:44a2143412d26e7b9ec3bd892270e1c34bcdfb46f36cdd8cb084c36fa3173d14

Observation cb6ba2d3-b852-421c-976b-23f673352454 · inbound

How Far Do Simple Transformations Translate Across Text Embedding Models? cites this paper.

How Far Do Simple Transformations Translate Across Text Embedding Models? Revisiting Model Stitching to Compare Neural Representations

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T19:59:45.057835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:59:45.057835Z digest=sha256:4743f2e8d1992aedb5a1bfca6977e3e83041b2da6f40a1b530c28fcd4d72bf53

Observation ba957a73-a7ac-41e7-be9e-a7f61366db14 · inbound

One Adapter Pair per Model: A Universal Activation Interface for Language Models cites this paper.

One Adapter Pair per Model: A Universal Activation Interface for Language Models Revisiting Model Stitching to Compare Neural Representations

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T15:50:04.555736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:50:04.555736Z digest=sha256:5d265607e36e8f8ef6a81bc6d035789cbd0e3cd71513ff0258a01aaed4e9dd86