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Paper Citation Record · LEDGER

Who Built This Model? Tracing LLM Lineage via Spectral Fingerprints in Weight Space

As of 17 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2608.07786.

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

pith.paper-citation-record.v1
2608.07786 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:17:43.248210Z

measured 40 of 40 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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

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Reference resolution

40 of 40 outbound references displayed

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  • verified fuzzy8
  • unresolved28
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Outbound references

Observation 191af9f6-d7a9-40a9-8679-737b00e9f69a · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

Who Built This Model? Tracing LLM Lineage via Spectral Fingerprints in Weight Space Constitutional AI: Harmlessness from AI Feedback

Reference 1

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Observation b9af0d40-357f-4959-a5a8-3e8f669bff26 · outbound

This paper cites 3: independent-origin (Scenario 1), same- series (Scenario 2), and shared-base (Scenario 3).

Who Built This Model? Tracing LLM Lineage via Spectral Fingerprints in Weight Space 3: independent-origin (Scenario 1), same- series (Scenario 2), and shared-base (Scenario 3)

Reference 2

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 09389d7b-9ce7-4225-9f54-7f4589390743 · outbound

This paper cites We distinguish two subcategories based on fine-grained variation sources.

Who Built This Model? Tracing LLM Lineage via Spectral Fingerprints in Weight Space We distinguish two subcategories based on fine-grained variation sources

Reference 3

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Observation 3ba5c4e5-3667-4f84-85bf-e5d93230d7e5 · outbound

This paper cites The Llama 3 Herd of Models.

Who Built This Model? Tracing LLM Lineage via Spectral Fingerprints in Weight Space The Llama 3 Herd of Models

Reference 6

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source=pdf_text observed=2026-08-11T04:17:43.028307Z digest=sha256:b39a7567cee348ca5a4053f6f1beb49771bcd09f6adfe810e130b0ca9f23e40d

Observation 8751b4d1-d92e-41d1-abdd-3d4635c20d02 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Who Built This Model? Tracing LLM Lineage via Spectral Fingerprints in Weight Space DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 7

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source=pdf_text observed=2026-08-11T04:17:43.036136Z digest=sha256:d512046b11ef1410e1171520e6d54741abf30b7f790beadea943d336a74065fb

Observation d976947b-ea7c-4d61-b02e-a2f74b8430ea · outbound

This paper cites A2 summarizes the proposed Subspace Alignment algorithm.

Who Built This Model? Tracing LLM Lineage via Spectral Fingerprints in Weight Space A2 summarizes the proposed Subspace Alignment algorithm

Reference 8

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source=pdf_text observed=2026-08-11T04:17:43.241520Z digest=sha256:e63f25533af6692fc11b4194dfc47411e09c2de36b6aae1de282e95c34c50efb

Observation 07c007f2-54a6-49a8-be2a-9d7c49ec8dee · outbound

This paper cites Hide and Seek: Fingerprinting Large Language Models with Evolutionary Learning.

Who Built This Model? Tracing LLM Lineage via Spectral Fingerprints in Weight Space Hide and Seek: Fingerprinting Large Language Models with Evolutionary Learning

Reference 9

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source=pdf_text observed=2026-08-11T04:17:43.048657Z digest=sha256:04ba26282437b9b8db4dd20bad52fe65ad87be04a5a643ed05687fb2dc49f6ce

Observation c0455ac1-17bd-4354-8688-57499095f5b9 · outbound

This paper cites The universal weight subspace hypothesis.arXiv preprint arXiv:2512.05117,.

Who Built This Model? Tracing LLM Lineage via Spectral Fingerprints in Weight Space The universal weight subspace hypothesis.arXiv preprint arXiv:2512.05117,

Reference 10

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Observation 5cee4766-358d-47ad-a606-e5b045f593bb · outbound

This paper cites Principal angles between subspaces in an a-based scalar product: algorithms and perturbation estimates.SIAM Journal on Scientific Computing, 23(6):2008–2040,.

Who Built This Model? Tracing LLM Lineage via Spectral Fingerprints in Weight Space Principal angles between subspaces in an a-based scalar product: algorithms and perturbation estimates.SIAM Journal on Scientific Computing, 23(6):2008–2040,

Reference 11

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 366e1189-552f-4043-8e38-d94cf9b5a073 · outbound

This paper cites Tulu 3: Pushing Frontiers in Open Language Model Post-Training.

Who Built This Model? Tracing LLM Lineage via Spectral Fingerprints in Weight Space Tulu 3: Pushing Frontiers in Open Language Model Post-Training

Reference 13

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source=pdf_text observed=2026-08-11T04:17:43.072996Z digest=sha256:1633482ca068858519467fd265669004f3d915a42377c8cb719a243a58032cc9

Observation e992be82-1eaa-44a5-948d-51d350f67cca · outbound

This paper cites Training language models to follow instructions with human feedback.NeurIPS,.

Who Built This Model? Tracing LLM Lineage via Spectral Fingerprints in Weight Space Training language models to follow instructions with human feedback.NeurIPS,

Reference 15

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 3eaf8913-6617-440a-a1e7-b289cf12f89f · outbound

This paper cites Proximal Policy Optimization Algorithms.

Who Built This Model? Tracing LLM Lineage via Spectral Fingerprints in Weight Space Proximal Policy Optimization Algorithms

Reference 16

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Observation 1624a781-ca1a-431a-8b19-38091e45402e · outbound

This paper cites Sok: Large language model copyright auditing via fingerprinting.arXiv preprint arXiv:2508.19843,.

Who Built This Model? Tracing LLM Lineage via Spectral Fingerprints in Weight Space Sok: Large language model copyright auditing via fingerprinting.arXiv preprint arXiv:2508.19843,

Reference 18

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Observation 86252118-3eb8-431d-9464-c86cb655fa25 · outbound

This paper cites Lora vs full fine-tuning: An illusion of equivalence.arXiv preprint arXiv:2410.21228,.

Who Built This Model? Tracing LLM Lineage via Spectral Fingerprints in Weight Space Lora vs full fine-tuning: An illusion of equivalence.arXiv preprint arXiv:2410.21228,

Reference 19

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Observation 4c7944b4-5c2a-4d4a-b281-385a25df8e47 · outbound

This paper cites Idiosyncrasies in Large Language Models.

Who Built This Model? Tracing LLM Lineage via Spectral Fingerprints in Weight Space Idiosyncrasies in Large Language Models

Reference 20

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Observation 4f9d6335-3a6e-4b96-b77b-be0645ae3b6b · outbound

This paper cites Natural fingerprints of large language models.

Who Built This Model? Tracing LLM Lineage via Spectral Fingerprints in Weight Space Natural fingerprints of large language models

Reference 21

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source=pdf_text observed=2026-08-11T04:17:43.124176Z digest=sha256:b6aac2fac8f40b1f30e8d552e87fa7d94732c564979b2f42a2503ce28167d4bf

Observation c7078f66-d676-4b8a-87d0-272b3a41e5b7 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Who Built This Model? Tracing LLM Lineage via Spectral Fingerprints in Weight Space LLaMA: Open and Efficient Foundation Language Models

Reference 22

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Observation f7516c1d-44f6-4f93-8e3c-ab1d39e3d960 · outbound

This paper cites RAFP: Identifying LLM Lineages via Rare-Region Fingerprints.

Who Built This Model? Tracing LLM Lineage via Spectral Fingerprints in Weight Space RAFP: Identifying LLM Lineages via Rare-Region Fingerprints

Reference 23

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Observation c742a75b-9420-4c02-bd3a-afab4e9d5466 · outbound

This paper cites Gradient-Based Model Fingerprinting for LLM Similarity Detection and Family Classification.

Who Built This Model? Tracing LLM Lineage via Spectral Fingerprints in Weight Space Gradient-Based Model Fingerprinting for LLM Similarity Detection and Family Classification

Reference 24

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Observation cf0faf0e-5970-4810-bc4b-b77656ad1e62 · outbound

This paper cites Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement.

Who Built This Model? Tracing LLM Lineage via Spectral Fingerprints in Weight Space Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement

Reference 25

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Observation cf80386e-e483-4b99-8a91-5c52ea2e1b95 · outbound

This paper cites Qwen3 Technical Report.

Who Built This Model? Tracing LLM Lineage via Spectral Fingerprints in Weight Space Qwen3 Technical Report

Reference 26

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source=pdf_text observed=2026-08-11T04:17:43.160889Z digest=sha256:a71fd1822b5affa1dee50e43b8d68cc380f68748b7703d1aeceb5432d18b1901

Observation ed520134-c3f9-4306-8f1d-40af0ad72324 · outbound

This paper cites A fingerprint for large language models.arXiv preprint arXiv:2407.01235,.

Who Built This Model? Tracing LLM Lineage via Spectral Fingerprints in Weight Space A fingerprint for large language models.arXiv preprint arXiv:2407.01235,

Reference 27

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source=pdf_text observed=2026-08-11T04:17:43.168798Z digest=sha256:990d03f27fa563dc88dd881550a9d5304e36cfefcda976a06e6607ab615f1ea7

Observation 21281fa1-442c-4dfd-ba75-8bbc2f9de499 · outbound

This paper cites Intrinsic Fingerprint of LLMs: Continue Training is NOT All You Need to Steal A Model!.

Who Built This Model? Tracing LLM Lineage via Spectral Fingerprints in Weight Space Intrinsic Fingerprint of LLMs: Continue Training is NOT All You Need to Steal A Model!

Reference 28

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source=pdf_text observed=2026-08-11T04:17:43.175034Z digest=sha256:fae2cadefb856cc2d341d84a838fa5bd7c2431ba1c22db6b1e3a2fa91d0f49ac

Observation d8cfb7dd-ff73-4d23-bf9b-fd09ce86d33f · outbound

This paper cites Awm: Accurate weight- matrix fingerprint for large language models.arXiv preprint arXiv:2510.06738,.

Who Built This Model? Tracing LLM Lineage via Spectral Fingerprints in Weight Space Awm: Accurate weight- matrix fingerprint for large language models.arXiv preprint arXiv:2510.06738,

Reference 29

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Observation 7f07be93-c449-4394-a018-3455bb4ee0a4 · outbound

This paper cites Self: A robust singular value and eigenvalue approach for llm fingerprinting.arXiv preprint arXiv:2512.03620,.

Who Built This Model? Tracing LLM Lineage via Spectral Fingerprints in Weight Space Self: A robust singular value and eigenvalue approach for llm fingerprinting.arXiv preprint arXiv:2512.03620,

Reference 30

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f20510f4-77d5-4c60-b3cc-236aafbdf3cc · outbound

This paper cites REEF: Representation Encoding Fingerprints for Large Language Models.

Who Built This Model? Tracing LLM Lineage via Spectral Fingerprints in Weight Space REEF: Representation Encoding Fingerprints for Large Language Models

Reference 31

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Observation 2b8f7976-0297-484e-880a-d25b38bd1177 · outbound

This paper cites Tamm: Triadapter multi-modal learning for 3d shape understanding.

Who Built This Model? Tracing LLM Lineage via Spectral Fingerprints in Weight Space Tamm: Triadapter multi-modal learning for 3d shape understanding

Reference 32

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Observation b801753e-71a4-4d9a-8c5c-b499f39f19dc · outbound

This paper cites The path not taken: Rlvr provably learns off the principals.arXiv preprint arXiv:2511.08567,.

Who Built This Model? Tracing LLM Lineage via Spectral Fingerprints in Weight Space The path not taken: Rlvr provably learns off the principals.arXiv preprint arXiv:2511.08567,

Reference 33

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source=pdf_text observed=2026-08-11T04:17:43.203941Z digest=sha256:63cec2260f4eb270c577e5327e6b150bdd9a9f9bdbdae54f1e79e0d5818e0260

Observation 9c19463a-61a9-464d-b3f6-12941b7d7500 · outbound

This paper cites Angles between subspaces and their tangents.

Who Built This Model? Tracing LLM Lineage via Spectral Fingerprints in Weight Space Angles between subspaces and their tangents

Reference 34

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Observation 62fcf291-08fb-490b-8b2b-cd0e964c667d · outbound

This paper cites The complete set comprises 27 model pairs across diverse model families: Qwen cross-family pairs (7 pairs): • Qwen/Qwen2.5-7B vs.

Who Built This Model? Tracing LLM Lineage via Spectral Fingerprints in Weight Space The complete set comprises 27 model pairs across diverse model families: Qwen cross-family pairs (7 pairs): • Qwen/Qwen2.5-7B vs

Reference 37

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation a2612305-dbfa-450e-b224-1a3acdab6fdd · outbound

This paper cites • Gradient clipping: max norm 1.0.

Who Built This Model? Tracing LLM Lineage via Spectral Fingerprints in Weight Space • Gradient clipping: max norm 1.0

Reference 40

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raw_fallback, observed 2026-08-11T04:17:44.846766Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T04:17:43.248210Z digest=sha256:fdbb20287ca973a68c33985352285769576ef2948e32606e8ee570a66cf88536

Observation c1d3aad4-c779-4368-b89a-ecc00a242e69 · outbound

This paper cites Gemma: Open Models Based on Gemini Research and Technology.

Who Built This Model? Tracing LLM Lineage via Spectral Fingerprints in Weight Space Gemma: Open Models Based on Gemini Research and Technology

Reference 1980

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source=pdf_text observed=2026-08-11T04:17:43.022436Z digest=sha256:4e7340b466a050e6554c2f93d630cdd8331f0db50d2ba1980840a96cae0980ca

Observation d1047bd2-f543-4555-8b5e-fdcf49286358 · outbound

This paper cites Blackbox model provenance via palimpsestic membership inference.arXiv preprint arXiv:2510.19796,.

Who Built This Model? Tracing LLM Lineage via Spectral Fingerprints in Weight Space Blackbox model provenance via palimpsestic membership inference.arXiv preprint arXiv:2510.19796,

Reference 2002

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Observation f3047de3-afa7-4fbf-89d0-774d5f5038b2 · outbound

This paper cites Experiment setup is consistent with Fig.

Who Built This Model? Tracing LLM Lineage via Spectral Fingerprints in Weight Space Experiment setup is consistent with Fig

Reference 2012

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verified fuzzy
raw_fallback, observed 2026-08-11T04:17:44.928207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T04:17:43.215527Z digest=sha256:5b28dd198526d01d49da39fd168f52edc56704104f599fedb59f26c907038382

Observation 121801ab-278a-4a21-832b-760f4b6c90ab · outbound

This paper cites Forgetting to forget: Attention sink as a gateway for backdooring llm unlearning.arXiv preprint arXiv:2510.17021,.

Who Built This Model? Tracing LLM Lineage via Spectral Fingerprints in Weight Space Forgetting to forget: Attention sink as a gateway for backdooring llm unlearning.arXiv preprint arXiv:2510.17021,

Reference 2017

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no resolver link, observed 2026-08-11T04:17:43.100292Z

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Observation b1c8cdb7-4964-4f33-9c65-e78969c67226 · outbound

This paper cites Black-box access is insufficient for rigorous ai audits.

Who Built This Model? Tracing LLM Lineage via Spectral Fingerprints in Weight Space Black-box access is insufficient for rigorous ai audits

Reference 2021

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verified fuzzy
raw_fallback, observed 2026-08-11T04:17:44.991985Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T04:17:43.010210Z digest=sha256:dd15a238c7cfdc8278f9cde142995e734e006c61a8062cbf23d46695d3e9e83d

Observation 7b17ddef-8072-4f86-84d9-8a80a469ef07 · outbound

This paper cites Detecting Stylistic Fingerprints of Large Language Models.

Who Built This Model? Tracing LLM Lineage via Spectral Fingerprints in Weight Space Detecting Stylistic Fingerprints of Large Language Models

Reference 2022

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no resolver link, observed 2026-08-11T04:17:43.004115Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:17:43.004115Z digest=sha256:3aab89f8b4f0d8f63362dacd19f7787f5c0c5a993625ff0ebe9748e27ab9d7e4

Observation 1df5ad64-06aa-4adf-9680-3102a72e0571 · outbound

This paper cites Model provenance testing for large language models.arXiv preprint arXiv:2502.00706,.

Who Built This Model? Tracing LLM Lineage via Spectral Fingerprints in Weight Space Model provenance testing for large language models.arXiv preprint arXiv:2502.00706,

Reference 2023

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no resolver link, observed 2026-08-11T04:17:43.080439Z

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source=pdf_text observed=2026-08-11T04:17:43.080439Z digest=sha256:5d692ff3047c05696914aa98fa023b69362b21328ba62fb054c3284b4daac29d

Observation e8e29b1f-c4bb-45c5-af18-6f5c7121a9f3 · outbound

This paper cites RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment.

Who Built This Model? Tracing LLM Lineage via Spectral Fingerprints in Weight Space RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment

Reference 2024

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unresolved
no resolver link, observed 2026-08-11T04:17:43.016245Z

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source=pdf_text observed=2026-08-11T04:17:43.016245Z digest=sha256:0b1f239420a5390c6231798741b0c37b7855b86312873b157deb1a69c71101bb

Observation 30dbdda2-230d-4856-b221-79cd0d983d7a · outbound

This paper cites Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning.

Who Built This Model? Tracing LLM Lineage via Spectral Fingerprints in Weight Space Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning

Reference 2025

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unresolved
no resolver link, observed 2026-08-11T04:17:43.042560Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:17:43.042560Z digest=sha256:2c35139b6d3a7505715d80ef72a8d25b858949750bd7ab32a1dc954627b211c3

Pith citing papers

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