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Paper Citation Record · LEDGER

HairFormer: Transformer-Based Dynamic Neural Hair Simulation

As of 14 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2507.12600.

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

pith.paper-citation-record.v1
2507.12600 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:49:09.483703Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

19 of 19 outbound references displayed

  • verified exact0
  • verified fuzzy10
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 995ac0b6-468c-454f-97ed-17b2d8eae321 · outbound

This paper cites Artur Grigorev, Michael J Black, and Otmar Hilliges.

HairFormer: Transformer-Based Dynamic Neural Hair Simulation Artur Grigorev, Michael J Black, and Otmar Hilliges

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:49:12.113035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T16:49:08.092594Z digest=sha256:363799fb1ed54af6ce89d4a939a7eac8d18f5e1f4f7d47e482f36df45aaa6f14

Observation d4f1c057-e829-40ca-9463-c842949e0445 · outbound

This paper cites arXiv preprint arXiv:2412.17144 (2024).

HairFormer: Transformer-Based Dynamic Neural Hair Simulation arXiv preprint arXiv:2412.17144 (2024)

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T16:49:08.350985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:49:08.350985Z digest=sha256:54121bf9d9bddbd6bf90c930aba4378705a90071272cdb8717ec35779e8a1e0c

Observation 073b42f6-b991-4949-b085-0ab3ce360dbd · outbound

This paper cites ACM Transactions on Graphics (TOG) 43, 4 (2024), 1–11.

HairFormer: Transformer-Based Dynamic Neural Hair Simulation ACM Transactions on Graphics (TOG) 43, 4 (2024), 1–11

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:49:11.820125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T16:49:08.570796Z digest=sha256:63386bf7ecb8c30d85b8d08aa3593db0ec4ab294cff95c95668906078deed3e4

Observation 108f25e5-3da7-4331-9a11-ff392625f49d · outbound

This paper cites ICLR 1, 2 (2022),.

HairFormer: Transformer-Based Dynamic Neural Hair Simulation ICLR 1, 2 (2022),

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:49:11.524936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T16:49:08.666652Z digest=sha256:39899d10442b32b499da99409beeae936e9605f05625406738e981a4eb014305

Observation 3ad59216-6470-4a7a-b599-69abf1820d8b · outbound

This paper cites Codimensional Incremental Potential Contact.

HairFormer: Transformer-Based Dynamic Neural Hair Simulation Codimensional Incremental Potential Contact

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T16:49:08.785545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:49:08.785545Z digest=sha256:29bb2cd9614206b2f2e23872f465f70fb724826c147f6790c45124c7bf98494f

Observation d9770415-0dd7-40b3-9d01-a7575bc4b5de · outbound

This paper cites IEEE Access (2024).

HairFormer: Transformer-Based Dynamic Neural Hair Simulation IEEE Access (2024)

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:49:11.253040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T16:49:08.832021Z digest=sha256:22af9a8ca6950320eb7653976963c29f8e84ff447aacce91fe57ef47c6c7a29c

Observation d943beb0-a736-4225-bef5-c481af31ba75 · outbound

This paper cites HAAR: Text-Conditioned Generative Model of 3D Strand-based Human Hairstyles.

HairFormer: Transformer-Based Dynamic Neural Hair Simulation HAAR: Text-Conditioned Generative Model of 3D Strand-based Human Hairstyles

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T16:49:09.070885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:49:09.070885Z digest=sha256:1efece7b059451536c9d22b4ab74b5ece515aae2fa12f2c8ddce26af3c792d5b

Observation 9dc33e7c-b122-432e-9563-8f9647c109e5 · outbound

This paper cites Quaffure: Real-Time Quasi-Static Neural Hair Simulation.

HairFormer: Transformer-Based Dynamic Neural Hair Simulation Quaffure: Real-Time Quasi-Static Neural Hair Simulation

Reference 16

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T16:49:09.883322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T16:49:09.130885Z digest=sha256:a3a0a44c40392f6e6650ecd995bff7828224f024704cc3ce4f3f36ababc7f98b

Observation a2784a60-e9e5-404a-93dd-b36f17b11b2e · outbound

This paper cites ACM Transactions on Graphics (TOG) 42, 6 (2023), 1–16.

HairFormer: Transformer-Based Dynamic Neural Hair Simulation ACM Transactions on Graphics (TOG) 42, 6 (2023), 1–16

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:49:10.726771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T16:49:09.360313Z digest=sha256:32847b797852a0180bbbdf84abf085eeb329b46592d9688abdb76822562b3b50

Observation 79cc20cb-2726-47da-8056-2e188d842a26 · outbound

This paper cites Bottom: Dynamic inference for entire sequence.

HairFormer: Transformer-Based Dynamic Neural Hair Simulation Bottom: Dynamic inference for entire sequence

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:49:10.417519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T16:49:09.483703Z digest=sha256:47ed4688ed2b77b2a59657b3400bbaf633324664eb80ad4c8ba1d9d396dc8510

Observation 7511c073-b5f2-4da5-a614-cdf7c1e6c516 · outbound

This paper cites In ACM SIGGRAPH 2008 papers.

HairFormer: Transformer-Based Dynamic Neural Hair Simulation In ACM SIGGRAPH 2008 papers

Reference 2008

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:49:12.966449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T16:49:07.544470Z digest=sha256:c70ab5a214e22aca58a17447eae3405eca0d9030b94e085949dcf8724b43afc4

Observation 987d76ae-31da-4ed9-b39e-235c7d4c76cd · outbound

This paper cites Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.

HairFormer: Transformer-Based Dynamic Neural Hair Simulation Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 2014

Resolution
unresolved
no resolver link, observed 2026-08-06T16:49:07.844455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:49:07.844455Z digest=sha256:ddfd3321f5fcffa0bdda9a88b9a7fc2024e9feb77eef85e6a75d86825894570d

Observation cb90bf35-2110-464c-a6d8-a11dec107a14 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

HairFormer: Transformer-Based Dynamic Neural Hair Simulation Distilling the Knowledge in a Neural Network

Reference 2015

Resolution
unresolved
no resolver link, observed 2026-08-06T16:49:08.508210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:49:08.508210Z digest=sha256:8c8de46df0ab1633ba4cffc3b5f04c85c0a4daf776c310daf779efa4bba610d2

Observation 2327cc4c-102a-43d0-aa34-12c55b55ceab · outbound

This paper cites Advances in Neural Information Processing Systems (2017).

HairFormer: Transformer-Based Dynamic Neural Hair Simulation Advances in Neural Information Processing Systems (2017)

Reference 2017

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:49:10.985158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T16:49:09.191447Z digest=sha256:4447ca3a70d2b8f81ebc00275e4a925497767fb6b98721061a4dcf079a81d3b8

Observation 0874ab46-0444-4042-9c6e-dde3df746a39 · outbound

This paper cites PBNS: Physically Based Neural Simulator for Unsupervised Garment Pose Space Deformation.

HairFormer: Transformer-Based Dynamic Neural Hair Simulation PBNS: Physically Based Neural Simulator for Unsupervised Garment Pose Space Deformation

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-06T16:49:07.612021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:49:07.612021Z digest=sha256:c615d2e1805629dded58899d2870d1f3b693b6dd04cb6ad8eee0a10707d747f6

Observation 9c21f3a4-f346-4809-a940-d8b748d5b7f0 · outbound

This paper cites ACM Transactions on Graphics (TOG) 41, 6 (2022), 1–14.

HairFormer: Transformer-Based Dynamic Neural Hair Simulation ACM Transactions on Graphics (TOG) 41, 6 (2022), 1–14

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:49:12.717792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T16:49:07.743699Z digest=sha256:ed23f3194115a331ecaca1c5086dcb0102da2a1db75f700aece6d7fcdb227f97

Observation 335ce90d-7f8c-407d-9529-2a0bcacb68ac · outbound

This paper cites In ACM SIGGRAPH 2023 Conference Proceedings.

HairFormer: Transformer-Based Dynamic Neural Hair Simulation In ACM SIGGRAPH 2023 Conference Proceedings

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:49:12.436645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T16:49:07.985843Z digest=sha256:8de55a35b7e03902d51c56116f19676001129cdf1e21917b0746ad71173bd224

Observation b516147b-65e7-4261-862f-04012f0a94f7 · outbound

This paper cites Perm: A Parametric Representation for Multi-Style 3D Hair Modeling.

HairFormer: Transformer-Based Dynamic Neural Hair Simulation Perm: A Parametric Representation for Multi-Style 3D Hair Modeling

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-06T16:49:08.210543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:49:08.210543Z digest=sha256:945981c3179fb3e79dfdfaa49acf2855f6483d76df6d5abd8b9b149eca00dfad

Observation 4c309b61-dc49-40cc-b19c-f6fc9c4379a9 · outbound

This paper cites TANGLED: Generating 3D Hair Strands from Images with Arbitrary Styles and Viewpoints.

HairFormer: Transformer-Based Dynamic Neural Hair Simulation TANGLED: Generating 3D Hair Strands from Images with Arbitrary Styles and Viewpoints

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-06T16:49:08.978542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:49:08.978542Z digest=sha256:2cd26dafe20a3676dada3a757d7b2d1f6a36a34c086e0f3073f10bb8178b757c

Pith citing papers

No inbound Pith citation observations are available.