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Paper Citation Record · LEDGER

Keyframer: Empowering Animation Design using Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2402.06071.

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

pith.paper-citation-record.v1
2402.06071 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 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 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T21:29:50.249053Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T22:47:37.275324Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 90a30d55-dbff-4d47-9fae-34a0928954a4 · inbound

Understanding the Human-LLM Dynamic: A Literature Survey of LLM Use in Programming Tasks cites this paper.

Understanding the Human-LLM Dynamic: A Literature Survey of LLM Use in Programming Tasks Keyframer: Empowering Animation Design using Large Language Models

Reference 93

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:03:24.698730Z

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=2026-05-23T19:58:28.103216Z digest=sha256:640877a84b28bef24cb53eb0afe1435654ab49996cc80df8b258ac9963a29ea1

Observation 2890dc45-7a8b-4f26-a372-dd51eea8c95f · inbound

Reflecting on Design Paradigms of Animated Data Video Tools cites this paper.

Reflecting on Design Paradigms of Animated Data Video Tools Keyframer: Empowering Animation Design using Large Language Models

Reference 109

Resolution
unresolved
no resolver link, observed 2026-08-08T21:29:50.249053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T21:29:50.249053Z digest=sha256:9508e45a858704a99f243e668c72806127d9d26fbf807e0f700e6fa58ec9e31e

Observation fb427236-644a-42c0-9add-87bcfd29000c · inbound

MoGraphGPT: Creating Interactive Scenes Using Modular LLM and Graphical Control cites this paper.

MoGraphGPT: Creating Interactive Scenes Using Modular LLM and Graphical Control Keyframer: Empowering Animation Design using Large Language Models

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-08T20:46:57.917533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T20:46:57.917533Z digest=sha256:e735726752296ad6f2500c700520fe8ed47d8732276a117d98c9f94d318f8840

Observation 06bb5ff1-76a0-492b-85c0-19fe7815d930 · inbound

MapStory: Prototyping Editable Map Animations with LLM Agents cites this paper.

MapStory: Prototyping Editable Map Animations with LLM Agents Keyframer: Empowering Animation Design using Large Language Models

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-07T13:22:06.570411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:22:06.570411Z digest=sha256:be9711e6785697a4b87056742ec1f8ba25e5cf2452f770e1e6647a924d41978b

Observation e67b66bb-4cb9-4e42-94a8-e7ee7e0eee2e · inbound

KinemaFX: A Kinematic-Driven Interactive System for Particle Effect Exploration and Customization cites this paper.

KinemaFX: A Kinematic-Driven Interactive System for Particle Effect Exploration and Customization Keyframer: Empowering Animation Design using Large Language Models

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T14:04:23.177816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:04:23.177816Z digest=sha256:adf2cbac80c6469dbad1274010a8d06b64e4d70a68721c4a2b22a0e6ef3a8385

Observation 0463153c-10b3-4779-ac3c-c9f5e790959f · inbound

DataSway: Vivifying Metaphoric Visualization with Animation Clip Generation and Coordination cites this paper.

DataSway: Vivifying Metaphoric Visualization with Animation Clip Generation and Coordination Keyframer: Empowering Animation Design using Large Language Models

Reference 65

Resolution
verified exact
arxiv_id, observed 2026-05-19T02:16:59.171405Z

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=2026-05-19T02:15:04.331691Z digest=sha256:0e368687f251b4cc7c1b801d632ef492ee7b61ba18483447a2a3969dc3742541

Observation a4951dc2-bbf0-438d-b277-88e57f11f91f · inbound

GenTune: Toward Traceable Prompts to Improve Controllability of Image Refinement in Environment Design cites this paper.

GenTune: Toward Traceable Prompts to Improve Controllability of Image Refinement in Environment Design Keyframer: Empowering Animation Design using Large Language Models

Reference 114

Resolution
unresolved
no resolver link, observed 2026-08-05T18:05:44.075532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:05:44.075532Z digest=sha256:b3296195289a19415a15b012550f1a97296b7fa5abd46d9704f40b806ff4eb9b

Observation 02ae0474-1cd7-4939-ba7f-ab5113adbe2b · inbound

LottieGPT: Tokenizing Vector Animation for Autoregressive Generation cites this paper.

LottieGPT: Tokenizing Vector Animation for Autoregressive Generation Keyframer: Empowering Animation Design using Large Language Models

Reference 77

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:36:03.807752Z

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=2026-05-10T15:25:28.782101Z digest=sha256:56517a1b730f97bd5c85cfd1512675859659b795d846c03edf6eb4fb03cd309b

Observation f5cc11e9-c8f0-4275-a70c-154dbe0d7066 · inbound

VAnim: Rendering-Aware Sparse State Modeling for Structure-Preserving Vector Animation cites this paper.

VAnim: Rendering-Aware Sparse State Modeling for Structure-Preserving Vector Animation Keyframer: Empowering Animation Design using Large Language Models

Reference 286

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:06:04.008179Z

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=arxiv_source observed=2026-05-09T14:05:15.742176Z digest=sha256:b66ba5988eadf55babceb7a3d050fae7c6575e013dce03f658bb13f97b2f6287

Observation ac36ac71-9ecf-4c6a-a638-5274c0b74551 · inbound

LiveSVG: Zero-Shot SVG Animation via Video Generation cites this paper.

LiveSVG: Zero-Shot SVG Animation via Video Generation Keyframer: Empowering Animation Design using Large Language Models

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-06-29T08:03:14.205422Z

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=2026-06-29T07:59:26.115568Z digest=sha256:dd17542c3f9525b38d4f0f59aa704a70b67433fd6169807e49b1e4dc339d39ba

Observation 5efc0768-6279-496c-a23c-90c74f87c880 · inbound

Flowcode: An AI-Powered Programming Environment for Scaffolding Iteration in Creative Computing Education cites this paper.

Flowcode: An AI-Powered Programming Environment for Scaffolding Iteration in Creative Computing Education Keyframer: Empowering Animation Design using Large Language Models

Reference 59

Resolution
verified exact
local_arxiv, observed 2026-07-10T22:47:37.290974Z

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=2026-07-10T22:43:53.460714Z digest=sha256:e01823eff4396fc8b44099119bd7c970ef192d1f73eafd0fcda293c557fcc63e

Observation e85f8efd-6360-4fba-bcad-289519a51b0e · inbound

fog: Expressing Motion and Emotion through Function Composition of AI-Generated Code cites this paper.

fog: Expressing Motion and Emotion through Function Composition of AI-Generated Code Keyframer: Empowering Animation Design using Large Language Models

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-07-10T14:57:14.470532Z

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=2026-07-10T14:50:37.219729Z digest=sha256:18668b26b9f5fbf74719e215c914ddd94b7829fb79c402b8096b5ec9c2e0a3fa

Observation a4935a19-319d-42e4-92e5-4727265c4d60 · inbound

Design Theater: Evaluating the Gap Between User-Facing Design Reasoning and Implementation in Generative UI Tools cites this paper.

Design Theater: Evaluating the Gap Between User-Facing Design Reasoning and Implementation in Generative UI Tools Keyframer: Empowering Animation Design using Large Language Models

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-01T04:11:15.009012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T04:11:15.009012Z digest=sha256:c987520a02477c01428a844fe377d997b26b0965a2b2ca5b1477faa600841b48

Observation 3cb431f1-5e7e-4ee1-931b-08e846bc3f7f · inbound

Design Theater: Evaluating the Gap Between User-Facing Design Reasoning and Implementation in Generative UI Tools cites this paper.

Design Theater: Evaluating the Gap Between User-Facing Design Reasoning and Implementation in Generative UI Tools Keyframer: Empowering Animation Design using Large Language Models

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-04T01:35:40.172889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T01:35:40.172889Z digest=sha256:8019ce7a219a6956710e53a4bb94a904e43a7049f95b82c6433968ed19998252