Paper Citation Record · LEDGER

Grounding Functional Similarity by Invariance-Aware Model Stitching

As of 7 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2505.20142.

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

pith.paper-citation-record.v1
2505.20142 v2

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:02:56.160836Z

measured 45 of 45 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

45 of 45 outbound references displayed

verified exact0
verified fuzzy25
unresolved20
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 64ead466-482b-4969-b6de-5b3df193c929 · outbound

This paper cites On the functional similarity of robust and non-robust neural representations.

Grounding Functional Similarity by Invariance-Aware Model Stitching On the functional similarity of robust and non-robust neural representations

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:00.646778Z

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.

Observation fb1a3988-0929-484b-8116-bd83217b7117 · outbound

This paper cites How not to stitch representations to measure similarity: Task loss matching versus direct matching.

Grounding Functional Similarity by Invariance-Aware Model Stitching How not to stitch representations to measure similarity: Task loss matching versus direct matching

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:00.543717Z

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.

Observation 53d2f77c-81ad-4d0e-8dc0-f1d32ca9b05e · outbound

This paper cites Revisiting model stitching to compare neural representations.

Grounding Functional Similarity by Invariance-Aware Model Stitching Revisiting model stitching to compare neural representations

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:00.331648Z

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.

Observation dd12e62a-6ce6-4614-b646-d35ab9d85eec · outbound

This paper cites Representation Learning: A Review and New Perspectives.

Grounding Functional Similarity by Invariance-Aware Model Stitching Representation Learning: A Review and New Perspectives

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:52.541062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 644f835d-5200-433d-8b25-0eab958b20bd · outbound

This paper cites From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication.

Grounding Functional Similarity by Invariance-Aware Model Stitching From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:52.651360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7325b120-3f05-4524-9af6-7e0b58e70a22 · outbound

This paper cites Cross-layer distillation with semantic calibration.

Grounding Functional Similarity by Invariance-Aware Model Stitching Cross-layer distillation with semantic calibration

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:00.131562Z

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.

Observation 40518d83-e9e3-4d65-90c0-1fe3eb1c70ae · outbound

This paper cites What do cnns learn in the first layer and why? a linear systems perspective.

Grounding Functional Similarity by Invariance-Aware Model Stitching What do cnns learn in the first layer and why? a linear systems perspective

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:59.878730Z

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.

Observation 7c5783d7-ac75-4ec0-b59e-818f77d1d6a0 · outbound

This paper cites Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks.

Grounding Functional Similarity by Invariance-Aware Model Stitching Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:52.903906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0c8a7d9-a283-4e43-8069-f8f6c8e3e679 · outbound

This paper cites Similarity and matching of neural network representations.

Grounding Functional Similarity by Invariance-Aware Model Stitching Similarity and matching of neural network representations

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:59.697209Z

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.

Observation 7b63226a-5dc3-4648-9955-170fcbb65f1b · outbound

This paper cites Reliability of CKA as a Similarity Measure in Deep Learning.

Grounding Functional Similarity by Invariance-Aware Model Stitching Reliability of CKA as a Similarity Measure in Deep Learning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:53.126301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9af06714-5881-4e99-bb01-ab59cac36a9c · outbound

This paper cites Imagenet: A large- scale hierarchical image database.

Grounding Functional Similarity by Invariance-Aware Model Stitching Imagenet: A large- scale hierarchical image database

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:53.174507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25dc13ee-f17e-4a1b-94bd-c467974a21e0 · outbound

This paper cites Grounding representation similarity through statistical testing.

Grounding Functional Similarity by Invariance-Aware Model Stitching Grounding representation similarity through statistical testing

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:59.550681Z

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.

Observation eb9c3f0d-6984-44c7-b638-2c15084f23e8 · outbound

This paper cites Hierarchical nucleation in deep neural networks.

Grounding Functional Similarity by Invariance-Aware Model Stitching Hierarchical nucleation in deep neural networks

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:59.381279Z

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.

Observation 6e9c7e6d-1dcb-4330-bbe5-a604e444373b · outbound

This paper cites Dermatologist-level classification of skin cancer with deep neural networks.

Grounding Functional Similarity by Invariance-Aware Model Stitching Dermatologist-level classification of skin cancer with deep neural networks

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:59.214240Z

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.

Observation 6034c22b-412e-47b9-99c1-36d06b526cbf · outbound

This paper cites Automatic generation and detection of highly reliable fiducial markers under occlusion.

Grounding Functional Similarity by Invariance-Aware Model Stitching Automatic generation and detection of highly reliable fiducial markers under occlusion

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:59.048681Z

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.

Observation 95bcc374-5426-4e28-af83-dfee4b8ac7fb · outbound

This paper cites Shortcut learning in deep neural networks.

Grounding Functional Similarity by Invariance-Aware Model Stitching Shortcut learning in deep neural networks

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:58.917677Z

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.

Observation a64f1e40-58a0-40da-b7c8-c8ac833a3a60 · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

Grounding Functional Similarity by Invariance-Aware Model Stitching Explaining and Harnessing Adversarial Examples

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:53.704262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3da1be95-a8a9-4f85-b587-9aafbbe2eb0c · outbound

This paper cites Deep residual learning for image recognition.

Grounding Functional Similarity by Invariance-Aware Model Stitching Deep residual learning for image recognition

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:53.785179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13635340-b503-44e3-859a-eb77cd5f2115 · outbound

This paper cites Lu, and Marin Soljacic.

Grounding Functional Similarity by Invariance-Aware Model Stitching Lu, and Marin Soljacic

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:58.748183Z

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.

Observation 7baf1e2c-8524-4151-9a16-11a151436041 · outbound

This paper cites Show, attend and distill: Knowledge distillation via attention-based feature matching.

Grounding Functional Similarity by Invariance-Aware Model Stitching Show, attend and distill: Knowledge distillation via attention-based feature matching

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:58.566385Z

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.

Observation 50f674af-7e8e-4356-9ffd-f831dfa20e23 · outbound

This paper cites If you’ve trained one you’ve trained them all: inter-architecture similarity increases with robustness.

Grounding Functional Similarity by Invariance-Aware Model Stitching If you’ve trained one you’ve trained them all: inter-architecture similarity increases with robustness

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:58.362028Z

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.

Observation 32659c27-76e9-4c13-bfde-9c6d9c261894 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Grounding Functional Similarity by Invariance-Aware Model Stitching Adam: A Method for Stochastic Optimization

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:54.163082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2401274-bea3-4c0d-99f7-376c77cced00 · outbound

This paper cites Similarity of neural network representations revisited.

Grounding Functional Similarity by Invariance-Aware Model Stitching Similarity of neural network representations revisited

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:54.251717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ec8f775-bf33-4d1c-9a2f-33e9056b1d7e · outbound

This paper cites Imagenet classification with deep convolutional neural networks.

Grounding Functional Similarity by Invariance-Aware Model Stitching Imagenet classification with deep convolutional neural networks

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:54.310860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d649af5e-b72a-44e2-9545-a721af0670dd · outbound

This paper cites Understanding image representations by measuring their equivariance and equivalence.

Grounding Functional Similarity by Invariance-Aware Model Stitching Understanding image representations by measuring their equivariance and equivalence

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:58.221318Z

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.

Observation 65f62dfd-9436-4014-943d-711a4aa01360 · outbound

This paper cites Subspace adversarial training.

Grounding Functional Similarity by Invariance-Aware Model Stitching Subspace adversarial training

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:58.107183Z

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.

Observation dfe75b44-8870-47a6-901d-af5c2ae13bc7 · outbound

This paper cites Function-Consistent Feature Distillation.

Grounding Functional Similarity by Invariance-Aware Model Stitching Function-Consistent Feature Distillation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:54.573407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f761689-ae7f-41ca-a3d0-8e15ab696a59 · outbound

This paper cites Exploring inter-channel correlation for diversity-preserved knowledge distillation.

Grounding Functional Similarity by Invariance-Aware Model Stitching Exploring inter-channel correlation for diversity-preserved knowledge distillation

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:57.960242Z

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.

Observation 3c35d63c-fed3-4120-a258-7217b69f13fe · outbound

This paper cites Towards Deep Learning Models Resistant to Adversarial Attacks.

Grounding Functional Similarity by Invariance-Aware Model Stitching Towards Deep Learning Models Resistant to Adversarial Attacks

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:54.752956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41c63ad3-080f-4b29-a7ae-c17fb6e76049 · outbound

This paper cites The tunnel effect: Building data representations in deep neural networks.

Grounding Functional Similarity by Invariance-Aware Model Stitching The tunnel effect: Building data representations in deep neural networks

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:57.728382Z

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.

Observation 37023ffb-da6e-4f41-87f4-7c18405e2f3f · outbound

This paper cites Efficient Estimation of Word Representations in Vector Space.

Grounding Functional Similarity by Invariance-Aware Model Stitching Efficient Estimation of Word Representations in Vector Space

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:54.934885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea1a364d-7b58-432e-9305-4c8eebe1d645 · outbound

This paper cites Linear Mode Connectivity in Multitask and Continual Learning.

Grounding Functional Similarity by Invariance-Aware Model Stitching Linear Mode Connectivity in Multitask and Continual Learning

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:55.052849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06178514-7113-4b72-a351-992708b9dee5 · outbound

This paper cites Insights on representational similarity in neural networks with canonical correlation.

Grounding Functional Similarity by Invariance-Aware Model Stitching Insights on representational similarity in neural networks with canonical correlation

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:57.503355Z

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.

Observation ce66591d-f819-48d3-99a8-a5c07f63eb99 · outbound

This paper cites Relative representations enable zero-shot latent space communication.

Grounding Functional Similarity by Invariance-Aware Model Stitching Relative representations enable zero-shot latent space communication

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:55.273354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acf54ddc-e05a-4c94-87ef-dc83d8ef1fda · outbound

This paper cites Measuring representational robustness of neural networks through shared invariances.

Grounding Functional Similarity by Invariance-Aware Model Stitching Measuring representational robustness of neural networks through shared invariances

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:57.346754Z

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.

Observation b53a75ab-3e96-451a-af6e-213bf1cad526 · outbound

This paper cites Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and Depth.

Grounding Functional Similarity by Invariance-Aware Model Stitching Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and Depth

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:55.436665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 680df5b4-55f6-406a-89a5-c5959007fb7e · outbound

This paper cites Stitchable neural networks.

Grounding Functional Similarity by Invariance-Aware Model Stitching Stitchable neural networks

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:57.130561Z

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.

Observation ca24ef93-654d-43b9-9991-8464cfa557f0 · outbound

This paper cites Stitched vits are flexible vision backbones.

Grounding Functional Similarity by Invariance-Aware Model Stitching Stitched vits are flexible vision backbones

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:56.990470Z

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.

Observation 8dcc7a3f-df1a-4086-9ea7-680534a6213d · outbound

This paper cites FitNets: Hints for Thin Deep Nets.

Grounding Functional Similarity by Invariance-Aware Model Stitching FitNets: Hints for Thin Deep Nets

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:55.661623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e299ec32-4f9e-455e-b817-0bc274bfc798 · outbound

This paper cites Comparing apples and oranges: is stitching similarity a load of spheres? In NeurIPS 2024 Workshop on Scientific Methods for Understanding Deep Learning, 2024.

Grounding Functional Similarity by Invariance-Aware Model Stitching Comparing apples and oranges: is stitching similarity a load of spheres? In NeurIPS 2024 Workshop on Scientific Methods for Understanding Deep Learning, 2024

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:56.815077Z

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.

Observation 8a847e32-d87a-4606-b4af-a5c1e614d2f9 · outbound

This paper cites Robustness May Be at Odds with Accuracy.

Grounding Functional Similarity by Invariance-Aware Model Stitching Robustness May Be at Odds with Accuracy

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:55.828765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a6e002d-b887-42d8-a411-c9cf86c2be38 · outbound

This paper cites Knowledge distillation via softmax regression representation learning.

Grounding Functional Similarity by Invariance-Aware Model Stitching Knowledge distillation via softmax regression representation learning

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:56.641158Z

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.

Observation a67abaa7-e9ce-442a-9896-9992529e1646 · outbound

This paper cites Deep model reassembly.

Grounding Functional Similarity by Invariance-Aware Model Stitching Deep model reassembly

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:56.411826Z

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.

Observation 2cc9d6c1-10d3-4d49-9a6e-a9a94357271a · outbound

This paper cites Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer.

Grounding Functional Similarity by Invariance-Aware Model Stitching Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:56.061607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c60abc9-8c1f-48e5-9e2b-2583e12265a3 · outbound

This paper cites Formation of Representations in Neural Networks.

Grounding Functional Similarity by Invariance-Aware Model Stitching Formation of Representations in Neural Networks

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:56.160836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.