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Paper Citation Record · LEDGER

AdaToken-3D: Dynamic Spatial Gating for Efficient 3D Large Multimodal-Models Reasoning

As of 19 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2505.12782.

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

pith.paper-citation-record.v1
2505.12782 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:31:05.255901Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

30 of 30 outbound references displayed

  • verified exact1
  • verified fuzzy12
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 56def660-3266-4c58-9164-0b2cd8b21c6b · outbound

This paper cites From Redundancy to Relevance: Information Flow in LVLMs Across Reasoning Tasks.

AdaToken-3D: Dynamic Spatial Gating for Efficient 3D Large Multimodal-Models Reasoning From Redundancy to Relevance: Information Flow in LVLMs Across Reasoning Tasks

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-15T20:31:05.737480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T20:31:05.118613Z digest=sha256:3e81e0583c7d0f6e7460251383176baa4c2b53cd2bcd5c5c2bd79e5aa4f44aca

Observation e579f04d-2e33-4b9b-8115-b8f22369b59d · outbound

This paper cites An Image is Worth 1/2 Tokens After Layer 2: Plug- and-Play Inference Acceleration for Large Vision-Language Models.

AdaToken-3D: Dynamic Spatial Gating for Efficient 3D Large Multimodal-Models Reasoning An Image is Worth 1/2 Tokens After Layer 2: Plug- and-Play Inference Acceleration for Large Vision-Language Models

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-15T20:31:05.723133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T20:31:05.123823Z digest=sha256:1b9685f113607cb5bef226513e8814e700ddd11c4ad5e20af74a437487fc458c

Observation 638f2633-cc42-41e2-8375-3de6606efa66 · outbound

This paper cites Scene-LLM: Extending Language Model for 3D Visual Understanding and Reasoning.

AdaToken-3D: Dynamic Spatial Gating for Efficient 3D Large Multimodal-Models Reasoning Scene-LLM: Extending Language Model for 3D Visual Understanding and Reasoning

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:31:05.128481Z digest=sha256:ac590efeffd789c2f0700d7019d75ea067218351902894a5c4b24bfa3294f8e7

Observation 302ce6b4-a0ea-4dc1-9c60-2a96ea9ef424 · outbound

This paper cites MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices.

AdaToken-3D: Dynamic Spatial Gating for Efficient 3D Large Multimodal-Models Reasoning MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices

Reference 4

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no resolver link, observed 2026-08-15T20:31:05.133612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:31:05.133612Z digest=sha256:a3279c768199e17f579e8156b543a6c3735c12cd95b3330fd8527334248e2218

Observation 6bb40e64-be28-4b76-99a2-56491e8a5bc0 · outbound

This paper cites Chat-Scene: Bridging 3D Scene and Large Lan- guage Models with Object Identifiers.

AdaToken-3D: Dynamic Spatial Gating for Efficient 3D Large Multimodal-Models Reasoning Chat-Scene: Bridging 3D Scene and Large Lan- guage Models with Object Identifiers

Reference 5

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raw_fallback, observed 2026-08-15T20:31:05.708431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T20:31:05.138606Z digest=sha256:7435169375200b781617d9b9ed128964daa22b4559f48b0f2b976a9474010fc2

Observation 0222e24d-a6e9-4c73-9f73-2ddbd3d47931 · outbound

This paper cites DeepSeek-VL: Towards Real-World Vision-Language Understanding.

AdaToken-3D: Dynamic Spatial Gating for Efficient 3D Large Multimodal-Models Reasoning DeepSeek-VL: Towards Real-World Vision-Language Understanding

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:31:05.148435Z digest=sha256:2b9ccc5dc1178f5098270514ca8aeb374dba823640d37503a598100b657e9c70

Observation df2a323b-8a9f-4f91-a7f2-1b967d81d89a · outbound

This paper cites GPT4Scene: Understand 3D Scenes from Videos with Vision-Language Models.

AdaToken-3D: Dynamic Spatial Gating for Efficient 3D Large Multimodal-Models Reasoning GPT4Scene: Understand 3D Scenes from Videos with Vision-Language Models

Reference 8

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no resolver link, observed 2026-08-15T20:31:05.152574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:31:05.152574Z digest=sha256:762a50572c17b563f234e04ec0112259ea9c6a1694f20be3f1e0100fcbfb6b39

Observation e3defb45-a16e-4060-a2fa-c09f3c08973e · outbound

This paper cites LL3DA: Visual Interactive Instruction Tuning for Omni-3D Understanding, Reasoning, and Planning.

AdaToken-3D: Dynamic Spatial Gating for Efficient 3D Large Multimodal-Models Reasoning LL3DA: Visual Interactive Instruction Tuning for Omni-3D Understanding, Reasoning, and Planning

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-15T20:31:05.693581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T20:31:05.156671Z digest=sha256:48a6f47d492c5c15a83defdbf37c31b45721fd695b6ea2dcf099cccb8afb73ac

Observation ba1aa080-459e-4651-9dfe-03c22bba5450 · outbound

This paper cites PARIS3D: Reasoning-based 3D Part Segmentation Using Large Multimodal Model.

AdaToken-3D: Dynamic Spatial Gating for Efficient 3D Large Multimodal-Models Reasoning PARIS3D: Reasoning-based 3D Part Segmentation Using Large Multimodal Model

Reference 10

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local_arxiv, observed 2026-08-15T20:31:05.479018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T20:31:05.160459Z digest=sha256:09f70e3bab39516904b1d024596ad9e9af1077b8da254c935dc314a869a91b9c

Observation 7463f6bb-1c9c-40a1-abb4-6ed749c3beee · outbound

This paper cites Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs.

AdaToken-3D: Dynamic Spatial Gating for Efficient 3D Large Multimodal-Models Reasoning Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:31:05.165089Z digest=sha256:0900fa3c8471d9656fd0c3b903372bb61abb87a9587b7dc35ffbd0d4d08e80f5

Observation 3b770b20-6d97-4f69-b9c6-d5b74645adb0 · outbound

This paper cites PyramidDrop: Accelerating Your Large Vision-Language Models via Pyramid Visual Redundancy Reduction.

AdaToken-3D: Dynamic Spatial Gating for Efficient 3D Large Multimodal-Models Reasoning PyramidDrop: Accelerating Your Large Vision-Language Models via Pyramid Visual Redundancy Reduction

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:31:05.170020Z digest=sha256:41bf0379f36f00c8ba53e07ebb88e84efa3a975e884b69f9e21eca5daaf89547

Observation 4071c773-4852-4b63-947a-6245f352b2ab · outbound

This paper cites LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models.

AdaToken-3D: Dynamic Spatial Gating for Efficient 3D Large Multimodal-Models Reasoning LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:31:05.174504Z digest=sha256:c0d5c948f9c5f667d2f0893f7d83feace0aff54324045dc7436842580df402fd

Observation fd9ad6c1-c18f-422a-84c5-510fe19d8567 · outbound

This paper cites DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification.

AdaToken-3D: Dynamic Spatial Gating for Efficient 3D Large Multimodal-Models Reasoning DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification

Reference 14

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no resolver link, observed 2026-08-15T20:31:05.178951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:31:05.178951Z digest=sha256:43d7dfed9a3d8ab5f8d00e11ca9c84d3594890cea4d15557772c8027943f97f9

Observation f1d999d2-4c1e-4f58-bf4b-f38d98445c9d · outbound

This paper cites AdaViT: Adaptive Vision Transformers for Ef- ficient Image Recognition.

AdaToken-3D: Dynamic Spatial Gating for Efficient 3D Large Multimodal-Models Reasoning AdaViT: Adaptive Vision Transformers for Ef- ficient Image Recognition

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:31:05.679111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T20:31:05.183399Z digest=sha256:c021b2259dc1bf4f66c52aa976b6b1b73f52218388231bdbb5edfe7cf64fa27c

Observation 0c8f83c0-ce17-4808-9c0d-ae35edc25aad · outbound

This paper cites LLaVA-3D: A Simple yet Effective Pathway to Empowering LMMs with 3D-awareness.

AdaToken-3D: Dynamic Spatial Gating for Efficient 3D Large Multimodal-Models Reasoning LLaVA-3D: A Simple yet Effective Pathway to Empowering LMMs with 3D-awareness

Reference 16

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:31:05.187631Z digest=sha256:3013bebf3f4c3703c581a2d49b2d76b2f942ab33b07d1e8f2b9e976f5fe0949f

Observation 204872f8-6abc-4d74-8419-7f6ac519380a · outbound

This paper cites Visual Instruction Tuning.

AdaToken-3D: Dynamic Spatial Gating for Efficient 3D Large Multimodal-Models Reasoning Visual Instruction Tuning

Reference 17

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source=pdf_text observed=2026-08-15T20:31:05.192332Z digest=sha256:b0112e441e07d22f37c4b9a231aa7790612008adae13b8d1f651ccf1aba325c5

Observation 1f6ad87a-adb8-4a2f-bf28-f37fa25e739c · outbound

This paper cites SQA3D: Situated Question Answering in 3D Scenes.

AdaToken-3D: Dynamic Spatial Gating for Efficient 3D Large Multimodal-Models Reasoning SQA3D: Situated Question Answering in 3D Scenes

Reference 18

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:31:05.196777Z digest=sha256:03db25101572e4693a96934c6ea47c838978cf2801bb27c4679ffc5b23deb125

Observation 7cf0d9e2-c9d4-40d9-9e6a-de648d98ec4f · outbound

This paper cites ScanQA: 3D Question Answering for Spatial Scene Understanding.

AdaToken-3D: Dynamic Spatial Gating for Efficient 3D Large Multimodal-Models Reasoning ScanQA: 3D Question Answering for Spatial Scene Understanding

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:31:05.664103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T20:31:05.201270Z digest=sha256:44e71df1127fb5fa74410fb89cc0d406ec9f1ef6b32b27092de292bd927633ae

Observation 2c9221f1-66b0-4ce0-84e9-beec620f3d1e · outbound

This paper cites Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling.

AdaToken-3D: Dynamic Spatial Gating for Efficient 3D Large Multimodal-Models Reasoning Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:31:05.206553Z digest=sha256:b9decb46719eb228cdb6a4848ed18c71a8e62d8d40ec861ccdbef46d7a56148a

Observation a2133ca6-7b57-4f60-92ff-c49007c09683 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

AdaToken-3D: Dynamic Spatial Gating for Efficient 3D Large Multimodal-Models Reasoning Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-15T20:31:05.648915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T20:31:05.211805Z digest=sha256:37f0c733d9a3554e4d66e0697ddbfc6bbb90b116a7fe6f45f36dfc9f959a89ac

Observation 3d291220-caee-4549-8878-79b83702ea1d · outbound

This paper cites ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language.

AdaToken-3D: Dynamic Spatial Gating for Efficient 3D Large Multimodal-Models Reasoning ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language

Reference 22

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source=pdf_text observed=2026-08-15T20:31:05.216059Z digest=sha256:96255e8f22734b2d01fc5bd70992db9635d7d0cfbb2bc21ca43b09c1a1fe0014

Observation 9c33042b-5f41-4545-a16f-9dfe5339599a · outbound

This paper cites Scan2Cap: Context-aware Dense Captioning in RGB-D Scans.

AdaToken-3D: Dynamic Spatial Gating for Efficient 3D Large Multimodal-Models Reasoning Scan2Cap: Context-aware Dense Captioning in RGB-D Scans

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-15T20:31:05.631965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T20:31:05.220738Z digest=sha256:d57e6386115664ad7f05286cfa0200ff867cc678e05385887796a9a8d88bfd6f

Observation e79c0fb3-7bf1-4068-ae3c-0317a56af95c · outbound

This paper cites MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities.

AdaToken-3D: Dynamic Spatial Gating for Efficient 3D Large Multimodal-Models Reasoning MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities

Reference 24

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:31:05.225119Z digest=sha256:ba649c3cf21fed6695de25db6be687cda0a0c791c686add202deecfa9c0d6dbe

Observation e90af53e-3e81-4494-849d-ec53440de956 · outbound

This paper cites MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models.

AdaToken-3D: Dynamic Spatial Gating for Efficient 3D Large Multimodal-Models Reasoning MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Reference 25

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:31:05.229575Z digest=sha256:8f4dd264bc876cc2f47773dce0f146a402fad84fdaeeecd39badac6210926fa5

Observation efbfc9bc-c617-4a63-a4ce-5f5167622f0b · outbound

This paper cites MMBench: Is Your Multi-modal Model an All-around Player?.

AdaToken-3D: Dynamic Spatial Gating for Efficient 3D Large Multimodal-Models Reasoning MMBench: Is Your Multi-modal Model an All-around Player?

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-15T20:31:05.617033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T20:31:05.233935Z digest=sha256:96abf8de7fa81d75301301aa73522c52222252f07db29fd5bbdee3495821f0f8

Observation a2e4980f-f42a-4fd9-8eee-0b43c8b9dbb5 · outbound

This paper cites Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering.

AdaToken-3D: Dynamic Spatial Gating for Efficient 3D Large Multimodal-Models Reasoning Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-15T20:31:05.601871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T20:31:05.238630Z digest=sha256:733323caead215ee82f518ae5241ad065ad14a7c57d1fe7834ea480b6766c2f1

Observation 942b5564-4a52-4882-ba91-b7bd3d85e9af · outbound

This paper cites Alpaca against Vicuna: Using LLMs to Uncover Memorization of LLMs.

AdaToken-3D: Dynamic Spatial Gating for Efficient 3D Large Multimodal-Models Reasoning Alpaca against Vicuna: Using LLMs to Uncover Memorization of LLMs

Reference 28

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unresolved
no resolver link, observed 2026-08-15T20:31:05.243254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:31:05.243254Z digest=sha256:6da96f78084b9dd40e05af1d5882fe5c05e260de48d81004fdcf06ff18d56933

Observation 119f14b7-d3ee-40b8-bc45-1ac6565513ac · outbound

This paper cites ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes.

AdaToken-3D: Dynamic Spatial Gating for Efficient 3D Large Multimodal-Models Reasoning ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-15T20:31:05.586560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T20:31:05.247912Z digest=sha256:b8c3bf4e76f4286e494fdfdcbf67667c02b9631181994c5e57d34a8e6d8176b1

Observation 943b41ae-712a-4f4d-9507-74212e377eab · outbound

This paper cites GPT-4 Technical Report.

AdaToken-3D: Dynamic Spatial Gating for Efficient 3D Large Multimodal-Models Reasoning GPT-4 Technical Report

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-15T20:31:05.570825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T20:31:05.252112Z digest=sha256:45e8447c7d5d66a5d49f8a6b4d0b24a65edae731b28138b45af7d47f2d92ea64

Observation ae47147b-84fa-4183-9750-119855bb3d41 · outbound

This paper cites An Embodied Generalist Agent in 3D World.

AdaToken-3D: Dynamic Spatial Gating for Efficient 3D Large Multimodal-Models Reasoning An Embodied Generalist Agent in 3D World

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:31:05.255901Z digest=sha256:630fd1c8fafc356077c1f2d23fa59b152d2e336e030fe424055f5fa9d25c4a94

Pith citing papers

No inbound Pith citation observations are available.