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Paper Citation Record · LEDGER

Code-Poisoning Property Inference Attacks

As of 6 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2607.15970.

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

pith.paper-citation-record.v1
2607.15970 v1

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T21:49:08.859311Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

53 of 53 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved53
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dc408a62-656c-438d-b04a-219c767235c6 · outbound

This paper cites Machine learning: Trends, perspec- tives, and prospects,.

Code-Poisoning Property Inference Attacks Machine learning: Trends, perspec- tives, and prospects,

Reference 1

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Observation 7dbea57e-71fd-4d3b-bb00-a802640bfa2c · outbound

This paper cites an unresolved cited work.

Code-Poisoning Property Inference Attacks Unresolved cited work

Reference 2

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source=pdf_text observed=2026-08-01T21:49:03.839449Z digest=sha256:ff2c4f8eb1a66079510a6d4c0d2b1a93a809ce1a7276f671d39e3945f9208667

Observation 2d353c98-17dd-4d79-bc8e-ac8fd3591c48 · outbound

This paper cites an unresolved cited work.

Code-Poisoning Property Inference Attacks Unresolved cited work

Reference 3

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source=pdf_text observed=2026-08-01T21:49:04.006642Z digest=sha256:613570f973312908c431133445b330f3c4acdd78fb6141e5a5f475b1128b6043

Observation e88826e9-cdb0-4598-8890-2f81d03a6925 · outbound

This paper cites Pytorch dependency poisoned,.

Code-Poisoning Property Inference Attacks Pytorch dependency poisoned,

Reference 4

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source=pdf_text observed=2026-08-01T21:49:04.127541Z digest=sha256:c275471d5272207a8c46facb2a1ce4027202c9f153d5378f78e2894c29266523

Observation 7a975b0c-6890-44a1-947d-535252ed147a · outbound

This paper cites Playing with fire,.

Code-Poisoning Property Inference Attacks Playing with fire,

Reference 5

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source=pdf_text observed=2026-08-01T21:49:04.245587Z digest=sha256:944adcee5d784e33c013e87a3b9ef14a93ce3753898632a97c7e4d6f4c42d7d4

Observation ac0d6141-c98c-481f-965d-7ae402da5a34 · outbound

This paper cites Tensorflow ci/cd flaw,.

Code-Poisoning Property Inference Attacks Tensorflow ci/cd flaw,

Reference 6

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source=pdf_text observed=2026-08-01T21:49:04.380040Z digest=sha256:bfab25f6b9a33c80d795f020255a692e34b2e2f5344de9a0afdb22c6a160ba26

Observation bd5e757b-58ee-427a-b6bb-67ab57d22af8 · outbound

This paper cites Claude code,.

Code-Poisoning Property Inference Attacks Claude code,

Reference 7

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source=pdf_text observed=2026-08-01T21:49:04.505466Z digest=sha256:fbb5da092e5161cc2dc4ef948f8a9902b496dfda4caa157992546035953ebccf

Observation 84d95416-95d9-4e86-bc04-c3f91b137905 · outbound

This paper cites Code to detect chinese users,.

Code-Poisoning Property Inference Attacks Code to detect chinese users,

Reference 8

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Observation dc1476f9-6472-4d1c-b01f-fc51c5f125be · outbound

This paper cites Hackers using claude,.

Code-Poisoning Property Inference Attacks Hackers using claude,

Reference 9

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source=pdf_text observed=2026-08-01T21:49:04.656136Z digest=sha256:14c4d012b5c9a34e2d24bdee280f3fc151ff102fd8cd083d58f4f1e4e831ecf1

Observation 6b8bb2a6-436a-47c1-b78f-b9b2e4c06fdb · outbound

This paper cites Property inference attacks on fully connected neural networks using permutation invariant representations,.

Code-Poisoning Property Inference Attacks Property inference attacks on fully connected neural networks using permutation invariant representations,

Reference 10

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source=pdf_text observed=2026-08-01T21:49:04.753517Z digest=sha256:2a418ad9180ceb4b6520772ebb15bfebc9d9e682e1b86fde8ef9ab29d32ce953

Observation aba1d76f-43e9-4074-92fb-8ee7ca1af42a · outbound

This paper cites Leakage of dataset properties in {Multi-Party}machine learning,.

Code-Poisoning Property Inference Attacks Leakage of dataset properties in {Multi-Party}machine learning,

Reference 11

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source=pdf_text observed=2026-08-01T21:49:04.928155Z digest=sha256:57bdb0a7cbceba56abbee794f91a59f03fb4c1466e3a834aeeb370bcc2377cdc

Observation 49efd88d-5f31-4b02-b185-2f85f90fad29 · outbound

This paper cites Property inference from poisoning,.

Code-Poisoning Property Inference Attacks Property inference from poisoning,

Reference 12

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Observation 5bba34de-0a02-4a39-898d-00e765d23411 · outbound

This paper cites Snap: Efficient extraction of private properties with poisoning,.

Code-Poisoning Property Inference Attacks Snap: Efficient extraction of private properties with poisoning,

Reference 13

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Observation 77048483-5e02-40db-9d6f-0749cd032896 · outbound

This paper cites Manipulating transfer learning for property inference,.

Code-Poisoning Property Inference Attacks Manipulating transfer learning for property inference,

Reference 14

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source=pdf_text observed=2026-08-01T21:49:05.310323Z digest=sha256:743ccd952d9e9900d2430bb4c3b68139fb3030682f6c8c8a921f52e249730945

Observation 88cb8919-1e50-4f96-9436-aef9829e0afc · outbound

This paper cites Blind backdoors in deep learning models,.

Code-Poisoning Property Inference Attacks Blind backdoors in deep learning models,

Reference 15

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source=pdf_text observed=2026-08-01T21:49:05.421044Z digest=sha256:912e48bedd6b5b41e4995c15ffd01b30f3546f34d5ab411da761ec6869f3efbf

Observation 7e3debec-9dea-42ad-9a6e-96f9b2a5efaf · outbound

This paper cites Machine learning models that remember too much,.

Code-Poisoning Property Inference Attacks Machine learning models that remember too much,

Reference 16

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source=pdf_text observed=2026-08-01T21:49:05.539672Z digest=sha256:ee5d2ec8dca6d66b0f05a89f0a287c6186b12e8763809f782f78e58b686e78f7

Observation 669beb75-4a3c-409f-a3cd-f84bfabc056f · outbound

This paper cites Show me your code! kill code poisoning: A lightweight method based on code naturalness,.

Code-Poisoning Property Inference Attacks Show me your code! kill code poisoning: A lightweight method based on code naturalness,

Reference 17

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Observation a1e75bc7-41b0-4d3d-a724-42c842c09764 · outbound

This paper cites Loneneuron: a highly-effective feature- domain neural trojan using invisible and polymorphic watermarks,.

Code-Poisoning Property Inference Attacks Loneneuron: a highly-effective feature- domain neural trojan using invisible and polymorphic watermarks,

Reference 18

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source=pdf_text observed=2026-08-01T21:49:05.761867Z digest=sha256:cb965873ff00884e45ccfcc42e47ec43c80401e2b4821915f9b51758e7393d3c

Observation 0307bd85-4850-4db8-a6e7-545641118a1d · outbound

This paper cites Your space is my zone: Demystifying the security risks of ai-powered applications on pre-trained model hubs,.

Code-Poisoning Property Inference Attacks Your space is my zone: Demystifying the security risks of ai-powered applications on pre-trained model hubs,

Reference 19

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Observation b5076a43-b1e0-4132-8fba-614e699890e7 · outbound

This paper cites Overeager Coding Agents: Measuring Out-of-Scope Actions on Benign Tasks.

Code-Poisoning Property Inference Attacks Overeager Coding Agents: Measuring Out-of-Scope Actions on Benign Tasks

Reference 20

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Observation 2562d13b-8650-45e1-ab99-f6c3253c188a · outbound

This paper cites More code, less reuse: Investigating code quality and reviewer sentiment towards ai-generated pull requests,.

Code-Poisoning Property Inference Attacks More code, less reuse: Investigating code quality and reviewer sentiment towards ai-generated pull requests,

Reference 21

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Observation e7a43ee7-a20d-4037-8ec9-beb378d8510e · outbound

This paper cites Hugging face,.

Code-Poisoning Property Inference Attacks Hugging face,

Reference 22

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Observation 26cd606c-8943-4498-943a-4b0c176f5548 · outbound

This paper cites Intriguing properties of adversarial training at scale,.

Code-Poisoning Property Inference Attacks Intriguing properties of adversarial training at scale,

Reference 23

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source=pdf_text observed=2026-08-01T21:49:06.202347Z digest=sha256:97d73f2e978ffad1f69d5eef6ce20d0e3b09f1bc438f6875eb36eec460f8967f

Observation 11bb997b-660e-4175-80b0-762eff667603 · outbound

This paper cites Pure noise to the rescue of insufficient data: Improving imbalanced classification by training on random noise images,.

Code-Poisoning Property Inference Attacks Pure noise to the rescue of insufficient data: Improving imbalanced classification by training on random noise images,

Reference 24

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Observation 22f90e2c-3486-4037-8bc2-8c38591ac28c · outbound

This paper cites {“Security}is not my field,{I’m}a stats{guy.

Code-Poisoning Property Inference Attacks {“Security}is not my field,{I’m}a stats{guy

Reference 25

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Observation d8e30677-fa82-4009-85d5-e4fe6a6fbd87 · outbound

This paper cites HuggingFace's Transformers: State-of-the-art Natural Language Processing.

Code-Poisoning Property Inference Attacks HuggingFace's Transformers: State-of-the-art Natural Language Processing

Reference 26

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Observation 152294d0-fc07-44bd-920a-588673953acc · outbound

This paper cites Openclaw,.

Code-Poisoning Property Inference Attacks Openclaw,

Reference 27

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Observation af876512-3407-469e-956a-30880994ddee · outbound

This paper cites An empirical comparison of supervised learning algorithms,.

Code-Poisoning Property Inference Attacks An empirical comparison of supervised learning algorithms,

Reference 28

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Observation df4febca-b789-4cb3-bf75-67a9f68b002d · outbound

This paper cites Stochastic gradient descent tricks,.

Code-Poisoning Property Inference Attacks Stochastic gradient descent tricks,

Reference 29

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source=pdf_text observed=2026-08-01T21:49:06.761809Z digest=sha256:4beb4088885e38457512e8f46dbca70adfd9d0e81d942e99c853a9af9b17b0b4

Observation 1d1e7de7-0ff6-42c1-88dd-314eaecabfe4 · outbound

This paper cites Hacking smart machines with smarter ones: How to extract meaningful data from machine learning classifiers,.

Code-Poisoning Property Inference Attacks Hacking smart machines with smarter ones: How to extract meaningful data from machine learning classifiers,

Reference 30

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Observation 6904d71c-4346-4d36-af83-ae2241856823 · outbound

This paper cites Sup- port vector machines,.

Code-Poisoning Property Inference Attacks Sup- port vector machines,

Reference 31

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source=pdf_text observed=2026-08-01T21:49:06.950490Z digest=sha256:97076b5e8bc08cfaf4a25de720b2fcbb25cb48119b178d96916a2d3e01e897ac

Observation 776174d1-510f-46d8-9349-0ab6b1dbd21c · outbound

This paper cites Hidden markov models,.

Code-Poisoning Property Inference Attacks Hidden markov models,

Reference 32

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Observation 0a888b35-fc3b-44f4-9893-9393b8b71ddf · outbound

This paper cites iDLG: Improved Deep Leakage from Gradients.

Code-Poisoning Property Inference Attacks iDLG: Improved Deep Leakage from Gradients

Reference 33

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Observation 42952e1b-f232-4db4-8c41-8fc1425acd8a · outbound

This paper cites Poisoning attacks against support vector machines,.

Code-Poisoning Property Inference Attacks Poisoning attacks against support vector machines,

Reference 34

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Observation 29122d90-a985-464f-bf09-707e2a771fa5 · outbound

This paper cites Formalizing and estimating distribution inference risks,.

Code-Poisoning Property Inference Attacks Formalizing and estimating distribution inference risks,

Reference 35

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source=pdf_text observed=2026-08-01T21:49:07.264681Z digest=sha256:ac7baeefdbaedc4338db708973d3e02931506623437056f404f9ee3325dc62a4

Observation fe7b702e-fea8-444c-90c9-4b3c6d01a6bd · outbound

This paper cites Property inference attacks against gans,.

Code-Poisoning Property Inference Attacks Property inference attacks against gans,

Reference 36

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Observation 78c381ce-3061-4998-8d1c-83440876335a · outbound

This paper cites {Inf2Guard}: An {Information-Theoretic}framework for learning{Privacy-Preserving} representations against inference attacks,.

Code-Poisoning Property Inference Attacks {Inf2Guard}: An {Information-Theoretic}framework for learning{Privacy-Preserving} representations against inference attacks,

Reference 37

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Observation 42dbf208-3081-4c1b-9256-7a7afefd017d · outbound

This paper cites Deep learning with differential privacy,.

Code-Poisoning Property Inference Attacks Deep learning with differential privacy,

Reference 38

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Observation 4bb2cc7f-158b-46e7-b5b2-074a5f1de14d · outbound

This paper cites Protecting global properties of datasets with distribution privacy mechanisms,.

Code-Poisoning Property Inference Attacks Protecting global properties of datasets with distribution privacy mechanisms,

Reference 39

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Observation 6b301cc3-1cbe-4eff-bc16-a74b6fa3c5df · outbound

This paper cites “i never thought about securing my machine learning systems.

Code-Poisoning Property Inference Attacks “i never thought about securing my machine learning systems

Reference 40

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Observation 2efaa084-0b65-4b40-ae4b-6f8c114daa29 · outbound

This paper cites Adversarial machine learning- industry perspectives,.

Code-Poisoning Property Inference Attacks Adversarial machine learning- industry perspectives,

Reference 41

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source=pdf_text observed=2026-08-01T21:49:07.799409Z digest=sha256:ab9ccd7a81e67f61cc5bdafecfc830ad12dd52a969dbf534b64520fc2ed20563

Observation 23481601-16b8-4a43-b1c6-7736565f8e9c · outbound

This paper cites A method to facilitate membership inference attacks in deep learning models,.

Code-Poisoning Property Inference Attacks A method to facilitate membership inference attacks in deep learning models,

Reference 42

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source=pdf_text observed=2026-08-01T21:49:07.868358Z digest=sha256:8461cbc89396f38820592c38accca9c81e641ce763170bf914bbd672fbcb3dbc

Observation 63ac1036-d71b-48f7-bb5b-af1e18c96ed8 · outbound

This paper cites Uci machine learning repository,.

Code-Poisoning Property Inference Attacks Uci machine learning repository,

Reference 43

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source=pdf_text observed=2026-08-01T21:49:07.923077Z digest=sha256:aadb906df63f03432d4047171d4767b646f16f3610b19786086e3a68dbd19c5e

Observation 543d1c1c-39e8-41fa-aebd-276eb2b76d39 · outbound

This paper cites Deep learning face attributes in the wild,.

Code-Poisoning Property Inference Attacks Deep learning face attributes in the wild,

Reference 44

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source=pdf_text observed=2026-08-01T21:49:08.020681Z digest=sha256:2ea37cbc2af4d3d4db6af900a9189a1c0892b6c30781820bd65d88ab2b33ddcb

Observation 535bdcc3-756f-48b0-9b3f-d31da8e5201b · outbound

This paper cites Deep residual learning for image recognition,.

Code-Poisoning Property Inference Attacks Deep residual learning for image recognition,

Reference 45

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source=pdf_text observed=2026-08-01T21:49:08.095481Z digest=sha256:dee60303eca92767f0f2240f392ce3e31a0e6a7926ef0414b565dd70e8c9d6c2

Observation 54686937-bb88-46c3-bb64-146a23f4da2f · outbound

This paper cites Generative adversarial networks,.

Code-Poisoning Property Inference Attacks Generative adversarial networks,

Reference 46

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source=pdf_text observed=2026-08-01T21:49:08.191716Z digest=sha256:6daca7772038f80dcd810c5b28de9c47a7cae574ebd2f2558e7038e3bbf4f80f

Observation db96bcf0-6de2-47f5-940a-e13c35cc84e3 · outbound

This paper cites Attention is all you need,.

Code-Poisoning Property Inference Attacks Attention is all you need,

Reference 47

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source=pdf_text observed=2026-08-01T21:49:08.317432Z digest=sha256:d524db29421614e7eaf8b04cd6e25103e3e6fd75398841b8a5c4bde8aac3a05f

Observation 453e50be-4a4f-43de-9ee7-4561574c8865 · outbound

This paper cites Scaling rectified flow transformers for high-resolution image synthesis,.

Code-Poisoning Property Inference Attacks Scaling rectified flow transformers for high-resolution image synthesis,

Reference 48

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source=pdf_text observed=2026-08-01T21:49:08.395252Z digest=sha256:c5e4c11e12e46282903eeb6229a62d9d8343497cf3d17304c7956d05af6a4b6a

Observation f8b52ce6-88a2-4bd5-95de-de780bcd96f2 · outbound

This paper cites an unresolved cited work.

Code-Poisoning Property Inference Attacks Unresolved cited work

Reference 49

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source=pdf_text observed=2026-08-01T21:49:08.516808Z digest=sha256:47c3ed6a05fba134e483ae1a55b17f9e2dd089a2aecb44edaa634f8a1f1960ef

Observation 2e8bb121-26f6-4da6-b5e7-55ab89535056 · outbound

This paper cites Sigstore: Software signing for everybody,.

Code-Poisoning Property Inference Attacks Sigstore: Software signing for everybody,

Reference 50

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source=pdf_text observed=2026-08-01T21:49:08.592350Z digest=sha256:5c5e1de9c0b7b4cb4819a6a9f5cacc53f6c00e2fd5546c559b54ac72e6eda481

Observation e808d596-83bc-4b37-b02e-f86b718d9df8 · outbound

This paper cites Bandit: Security linter for python source code.

Code-Poisoning Property Inference Attacks Bandit: Security linter for python source code

Reference 51

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source=pdf_text observed=2026-08-01T21:49:08.683950Z digest=sha256:daaa54331f4e25d906fa6d4ccfaae38b7aa3b5b59edaeca48bce14cd05a96490

Observation 9150e640-64c3-47fa-a7d6-676bfec8314e · outbound

This paper cites Cytoscnpy: Fast python static analysis with rust.

Code-Poisoning Property Inference Attacks Cytoscnpy: Fast python static analysis with rust

Reference 52

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source=pdf_text observed=2026-08-01T21:49:08.791466Z digest=sha256:da7e7fad031dcee31c3cddc4adbf5f2ce1d013799157a49da95053ad39020fdd

Observation a73ed03e-f47e-467d-8171-da15160574ad · outbound

This paper cites Hexora: Ml-powered malicious code detection.

Code-Poisoning Property Inference Attacks Hexora: Ml-powered malicious code detection

Reference 53

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source=pdf_text observed=2026-08-01T21:49:08.859311Z digest=sha256:13c6ad2615599e5ebd4fb00ccf560471b10fad0ae470f3f81b7dc240af7ac98a

Pith citing papers

No inbound Pith citation observations are available.