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Paper Citation Record · LEDGER

Concept Boundary Vectors

As of 15 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2412.15698.

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

pith.paper-citation-record.v1
2412.15698 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:13:38.699481Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

32 of 32 outbound references displayed

  • verified exact2
  • verified fuzzy13
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2c57a5d8-f48e-45e7-af7e-3b29d20aa110 · outbound

This paper cites Attention Is All You Need.

Concept Boundary Vectors Attention Is All You Need

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-11T11:13:38.016760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:13:38.016760Z digest=sha256:52f474fb7dbe63815e4e360ed3b136432baab3d3d7331f8e613428177558f906

Observation 1eed5609-c1ab-4cd0-9cdf-24e416c4f8ce · outbound

This paper cites Language Models are Unsupervised Multitask Learners, 2018.

Concept Boundary Vectors Language Models are Unsupervised Multitask Learners, 2018

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:13:39.634020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T11:13:38.022610Z digest=sha256:6209656847e52832078d6e7291d32f556fe89251613561c54a42e159020486bb

Observation 4c32c7de-f2c1-4ce0-8abf-9b2e4cccff54 · outbound

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

Concept Boundary Vectors Efficient Estimation of Word Representations in Vector Space

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T11:13:38.080464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:13:38.080464Z digest=sha256:bfd7c59ed508b9bd2c11244c2a66348c80ba16521bc5b285374560321e7f242d

Observation 5462ad62-5dfc-4b0e-b273-889faf8e375a · outbound

This paper cites an unresolved cited work.

Concept Boundary Vectors Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:13:39.621191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T11:13:38.146411Z digest=sha256:29591cbf5de2b4870dd3e965b9a505128b73761bffa1e8867662fa3bf56e8256

Observation 5d1cefa2-c4cf-48bd-9d48-06238d50d8cb · outbound

This paper cites Mishra, and Sanjiv Kumar Jain.

Concept Boundary Vectors Mishra, and Sanjiv Kumar Jain

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:13:39.607774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T11:13:38.183058Z digest=sha256:33a463dbb47bc7f86d59a10df663ad5af57b9827edd43872caaaf5328fa3393c

Observation ff51ebe2-600f-4828-a337-4af0b5b40ea4 · outbound

This paper cites Formal Analysis of Neural Network-Based Systems in the Aircraft Domain.

Concept Boundary Vectors Formal Analysis of Neural Network-Based Systems in the Aircraft Domain

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:13:39.594352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T11:13:38.187740Z digest=sha256:340446a46bbaf0755dafefa594831dd6ab5c12961cd0491b9c576f5649401372

Observation a1171a64-7c3f-4807-aec9-fb2836ea4d67 · outbound

This paper cites Introducing ChatGPT, November 2022.

Concept Boundary Vectors Introducing ChatGPT, November 2022

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:13:39.581660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T11:13:38.193353Z digest=sha256:d150c1d234be2099224b5fc6fc9d646ba34e50cf2e915b4aedc07749ef859d5b

Observation dba4efe6-e4f3-4368-b2f6-21af70d0d300 · outbound

This paper cites Why Should I Trust You?.

Concept Boundary Vectors Why Should I Trust You?

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:13:39.568299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T11:13:38.197058Z digest=sha256:df1a03d88149a96d50942bf29ed25f7e3f7310ba678a6fa34e158b0a4b358711

Observation d3276db4-7d72-4f17-8f9d-b0aa0fed70af · outbound

This paper cites Lundberg and Su-In Lee.

Concept Boundary Vectors Lundberg and Su-In Lee

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:13:39.554738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T11:13:38.202323Z digest=sha256:21b19bf6e7487d02c606da9d9a30e64f5b4e83fcd79c29e4e9968679b5a2b7a2

Observation 66b9c7f7-a4bd-4dc4-8a6c-9e3c8563cb13 · outbound

This paper cites Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCA V), June.

Concept Boundary Vectors Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCA V), June

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:13:39.541305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T11:13:38.207623Z digest=sha256:dff5e5d261c24ef3815b92e2385a4dca5b2f44557cf753917cdacaf364fffa9a

Observation eb997491-3b94-4660-a0d9-2aeedc80f094 · outbound

This paper cites Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks.

Concept Boundary Vectors Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T11:13:38.217346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:13:38.217346Z digest=sha256:590e65d3888c22ebd7fac713f773948c13433814bd0eea36b9094d471ead123d

Observation fe2ea2e5-8e77-42d3-a0f3-5915e96510f3 · outbound

This paper cites Sparse Autoencoders Find Highly Interpretable Features in Language Models.

Concept Boundary Vectors Sparse Autoencoders Find Highly Interpretable Features in Language Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T11:13:38.222910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:13:38.222910Z digest=sha256:8a1bafc793f966ec2a0a7697d54d09fe8efda65c39ba6aa06073ef1d2b5d4861

Observation 403b2e07-2fd4-4dd3-822d-2a40ebd5498e · outbound

This paper cites On Interpretability of Deep Learning based Skin Lesion Classifiers using Concept Activation Vectors.

Concept Boundary Vectors On Interpretability of Deep Learning based Skin Lesion Classifiers using Concept Activation Vectors

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-11T11:13:39.286569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T11:13:38.228256Z digest=sha256:e2dbc132314bd8d2289972d7fc1443f3f9df560f6075f24b7244690562b190c4

Observation ef3ab90f-66d4-48da-99a3-5b46a77186ac · outbound

This paper cites Adversarial TCAV -- Robust and Effective Interpretation of Intermediate Layers in Neural Networks.

Concept Boundary Vectors Adversarial TCAV -- Robust and Effective Interpretation of Intermediate Layers in Neural Networks

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T11:13:38.276521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:13:38.276521Z digest=sha256:7396a09f21c36434676c78de613831d10bc6ba7e9e51751e23d68802d21b6d56

Observation a5b56dc5-08f5-45c8-abe7-00bacace68fe · outbound

This paper cites Concept Activation Regions: A Generalized Framework For Concept-Based Explanations.

Concept Boundary Vectors Concept Activation Regions: A Generalized Framework For Concept-Based Explanations

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T11:13:38.381550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:13:38.381550Z digest=sha256:113fcb1c602d608e4fd1c374343d2d75ec3f4d35e35fd071fac522abd7f83f13

Observation eff5f4d7-9587-4984-86e4-5cc2d815dffb · outbound

This paper cites Topological Data Analysis of Decision Boundaries with Application to Model Selection.

Concept Boundary Vectors Topological Data Analysis of Decision Boundaries with Application to Model Selection

Reference 16

Resolution
metadata mismatch
local_arxiv, observed 2026-08-11T11:13:39.085824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T11:13:38.476015Z digest=sha256:e2009e0a9c88362f68916fd5e501c90f88379bb3b1bcab98c9ffc31a12905987

Observation 560e910d-1490-4107-8888-7d0196fce09a · outbound

This paper cites The Linear Representation Hypothesis and the Geometry of Large Language Models.

Concept Boundary Vectors The Linear Representation Hypothesis and the Geometry of Large Language Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-11T11:13:38.479969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:13:38.479969Z digest=sha256:cc5738d815d23f374ca0d6bebefb7599132b0a6f66445850f69c9665a9e423bc

Observation 7ea64003-c981-412f-897a-e17ae5521e8f · outbound

This paper cites Emergent Linear Representations in World Models of Self-Supervised Sequence Models.

Concept Boundary Vectors Emergent Linear Representations in World Models of Self-Supervised Sequence Models

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-11T11:13:38.484985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:13:38.484985Z digest=sha256:33ee06632ce38611f352b3a4310e94c0a75e880d64a998a0e1c454d653f44f1f

Observation 1ce7ff11-8885-481b-8593-92579be4d816 · outbound

This paper cites Inspecting and Editing Knowledge Representations in Language Models.

Concept Boundary Vectors Inspecting and Editing Knowledge Representations in Language Models

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-11T11:13:38.489620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:13:38.489620Z digest=sha256:d4909002cba2714aaaaa9fac65c4e56244d130e6dbfe720e1e2b178fd98176f4

Observation 4d73f532-65a5-40e5-95ba-a648fd88ca2d · outbound

This paper cites Local Interpretation of Transformer Based on Linear Decomposition.

Concept Boundary Vectors Local Interpretation of Transformer Based on Linear Decomposition

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:13:39.527202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T11:13:38.494720Z digest=sha256:5ec48d902cb95226dec90c948eeb9bf5ea4c685480efe635dfd8a35b42dad6fa

Observation 9724cc3d-6b0f-46da-bae8-9c254c5c79f9 · outbound

This paper cites The mnist database of handwritten digit images for machine learning research.

Concept Boundary Vectors The mnist database of handwritten digit images for machine learning research

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-11T11:13:38.499067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:13:38.499067Z digest=sha256:66bb3007d33679981665970a4f1a30fc9df3f6bad0b9a8092ae418d3ecbc3940

Observation acda81ee-883c-496d-8c1e-1bf887ac5139 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Concept Boundary Vectors An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-11T11:13:38.503360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:13:38.503360Z digest=sha256:23c402c184670b1b766585b4c9f25ef9ed0f16b5441293d24980daaaa35e0246

Observation d60010ab-29a5-4b19-983d-a580ba20fa9b · outbound

This paper cites Krizhevsky.

Concept Boundary Vectors Krizhevsky

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:13:39.503857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T11:13:38.508497Z digest=sha256:896a299bfc22f969cbbae30a158ef4899ccebeecc4d5cb8393160059ee6a79e9

Observation 9dab9c1e-9597-4279-b77d-2e861a4dd77f · outbound

This paper cites Adam — PyTorch 2.4 documentation, 2023.

Concept Boundary Vectors Adam — PyTorch 2.4 documentation, 2023

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:13:39.488668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T11:13:38.513275Z digest=sha256:d72c54eb51c3fb3d8e132fba036cbba0d55e7a0da6f132dcc3e72e80fe878a57

Observation 0dfb1c3f-f681-459b-a8eb-cff2ba99e7da · outbound

This paper cites Topological Methods for the Analysis of High Dimensional Data Sets and 3D Object Recognition.

Concept Boundary Vectors Topological Methods for the Analysis of High Dimensional Data Sets and 3D Object Recognition

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:13:39.471799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T11:13:38.517232Z digest=sha256:aadc448f4a3daa1154ea7d8212c17f9e4f6c6067f905009d23b32ee3b78d0e6b

Observation 074c628b-cb4c-4b56-b740-95bd128beec4 · outbound

This paper cites an unresolved cited work.

Concept Boundary Vectors Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:13:39.459919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T11:13:38.520755Z digest=sha256:c178b2cde818190202684608d73e965c731a4df884595e2fe17eb6fb6ca463c6

Observation a8856625-ad16-43e5-876e-9a39595d9f84 · outbound

This paper cites Explaining Explainability: Recommendations for Effective Use of Concept Activation Vectors.

Concept Boundary Vectors Explaining Explainability: Recommendations for Effective Use of Concept Activation Vectors

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T11:13:38.579927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:13:38.579927Z digest=sha256:e2f75cf1f2840af7691410a8b6db6501e72c7f21aa50748f8ffe38d7b356c039

Observation 2e16c64f-4925-4688-8947-17c7bb30c52a · outbound

This paper cites Topological Singularity Detection at Multiple Scales.

Concept Boundary Vectors Topological Singularity Detection at Multiple Scales

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-08-11T11:13:38.832810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T11:13:38.661627Z digest=sha256:010214e8f4bf2b92fbef72cccc5800e8018bf50639dd2ce1f2e4703ee35b9009

Observation 3d789151-5810-4c90-954d-fc8695f8046d · outbound

This paper cites Towards Monosemanticity: Decomposing Language Models With Dictionary Learning.

Concept Boundary Vectors Towards Monosemanticity: Decomposing Language Models With Dictionary Learning

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:13:39.429608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T11:13:38.689477Z digest=sha256:42c8291b4c0a95444346081e5c110d0c5db46a55bd8d1e9871aa9e528dd10ebb

Observation a2a8e8ee-8c6a-4cd5-bf6b-8ac5fdcad8ef · outbound

This paper cites an unresolved cited work.

Concept Boundary Vectors Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:13:39.383922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T11:13:38.694322Z digest=sha256:e3caed8e6baaa34a415a5e0bda0e09143c62cdb6466954dce15724648817c467

Observation 38541357-4548-4617-a761-1c5a406f01e0 · outbound

This paper cites It is clear that Algorithm 1 is quadratic in the number of points in AC+ and AC−, however, there is also a burden imposed by the dimensionality of the latent representations.

Concept Boundary Vectors It is clear that Algorithm 1 is quadratic in the number of points in AC+ and AC−, however, there is also a burden imposed by the dimensionality of the latent representations

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:13:39.370128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T11:13:38.699481Z digest=sha256:eb6887442af500411af2b7ed7e5ef30fbaebe98957ea72f5251bdd215f098447

Observation 12c26f90-066f-4032-95b8-db9885ccdf78 · outbound

This paper cites Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV).

Concept Boundary Vectors Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-11T11:13:38.211995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:13:38.211995Z digest=sha256:16ee4d7d849fb89898afda0f6838267154955979be1ebb7f82e2a357439da451

Pith citing papers

No inbound Pith citation observations are available.