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Paper Citation Record · LEDGER

HairFormer: Transformer-Based Dynamic Neural Hair Simulation

As of 9 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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:49:08.092594Z digest=sha256:6a5cbcccd0d9e53d20aa6e434169d7d47440f2953cfeecb0f33ee8774b4c9445

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:a4f9e61d127dbfd0db06962718afb85453e927307492557161825a40c46bb8c8

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:49:08.570796Z digest=sha256:1bf4431e08b2cb172f9285bf6a6484f2ed4eea4a462c261246c702bdda609875

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:49:08.666652Z digest=sha256:8662d2231a272fbecc8fa491909c4c28f9c24d2f7ae6d45e3e35abc5f9a41056

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:eb56577aed524c8c4b2778ad8b7193419bebddd6637586382e5e1c355ad32980

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:49:08.832021Z digest=sha256:2611c5cc9cff81f2f3f85256731814fbdf66bdddfc47961ec988ac88e208ecee

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=sha256:143bb4de2ff23a8f7021339414e332c9a89eac9c07bc9a476303db90f8d9677c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:49:09.130885Z digest=sha256:3dcff6570f5eba62a62a15c6df33ba6f6f1c93c6d68ca13a74126b7bc735879d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:49:09.360313Z digest=sha256:e78cd7408fabc8381b57666263c3df586b2822a24fc51c8bd9ebcaac2c99c7ba

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:49:09.483703Z digest=sha256:b8d326a398e9262af3506ba6f0513786382c5a9016f5f9d59252093a7c0bf162

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:49:07.544470Z digest=sha256:d55b8ca98aa190598518506d9297f0af0b32ae2c191f4f728abb8ad027264917

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:e2d4fafcb918d8430752cd188f3de2841ed22bdddb7ec2b68d0916655ef502e4

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=sha256:104d2a542f933f844e895cdb0d2961b096eb657a41085c70cc10db89106bc541

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:49:09.191447Z digest=sha256:453cd42c7100c87e3e52d71cb7751b4990df43695ebbdb1136fe0306ff794325

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=sha256:5484840dd80fa11c38fb01fbb82b864c70b5b5debf5f81b8367b843320c2714c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:49:07.743699Z digest=sha256:b2ad47c9012d80fb27fd3b1e4619ba44cf5a101798226bcfe28f37003896148e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:49:07.985843Z digest=sha256:ebb96f737c31c3962fe755bcd9b02f38510d4b9efcb5391ad288b53ab8e552eb

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:ebdb6b7ba6c92975d91f3581c947c5093a2fd4114aab815ef2aaec01b6c6b39b

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=sha256:7809504ec8795c96ec373d5d3caa80533230094321fe409f9d749bbf9fbc7196

Pith citing papers

No inbound Pith citation observations are available.