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Paper Citation Record · LEDGER

HairFormer: Transformer-Based Dynamic Neural Hair Simulation

As of 8 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:49:08.092594Z digest=sha256:c684893f956b571fbf7b4fe9c507431d550a223a1b3f185917b512eed4636f09

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:49:08.570796Z digest=sha256:93287707c680c4c941348f7d0d5c4c525aa8bdf3a50515737e01f74634a39796

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:49:08.666652Z digest=sha256:a90801d412adb6c9a256e005ca8a9e80277d649ee3d10b68c4d30859b6a49cd2

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:49:08.832021Z digest=sha256:33e29fd58c8bdfa5760d361ac5140f31c2a187939b9645763818e348c80f85be

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:49:09.130885Z digest=sha256:7697c32d742bafa280a0444968124e752f38ae0cbdda26f90973ed9e6d82ba18

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:49:09.360313Z digest=sha256:4ac12191d2c91e66c0cb61299885c4ab05e7036ea1c1f0b7c2796e20ebbeb5b7

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:49:09.483703Z digest=sha256:1ac84078ff99a9a5d7b7a90b08e8ac7f92e8a5af23e7949953ddae9ba1009c1e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:49:07.544470Z digest=sha256:2b12c51c733f15ed0449357efc1932a94e3efd3e6ba446ec7a966e53595496fb

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:49:09.191447Z digest=sha256:c6f911e45b5317b1210ad0ee7f6209e4c58a751511cdc7b3024f17b7c62bdf98

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=sha256:672781e86a71c7a5c9b8bf785a66821c36072e96488948578f990d578afbbb2e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:49:07.743699Z digest=sha256:21c99316285dfb0147762d35bd271954b052ede5fc1d5363c989014ef66501f8

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:49:07.985843Z digest=sha256:8ab5b74a6b7a24a656a3c2b0616c045cf713a9159a4bffa76cf5382dada9609f

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=sha256:3d504cccb9b35255fedae7bb74dde27c3f5e9116423865d9fdfad76a2bc5d640

Pith citing papers

No inbound Pith citation observations are available.