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Paper Citation Record · LEDGER

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

As of 20 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:cb08b2cd0fa9036ea866d29531cf28365c0f50b5d29d087c378390a7842343c5

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:f5e483cd625aedec541f3f0beec61921781350a4248d6303cecb9230ebc1fc74

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=sha256:6ecdcfeda5a1fe525089be4805915372f77d909299afc70104d9c316f13e73d8

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=sha256:94446b2a5a87e26e909c45641062be2018351cce6fbb838c56ab8ea9cab2ad5f

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=sha256:64508eb9bf236d4c18783aa6c9898312764d6811449e73f0532a29e95c12e1d8

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=sha256:7975558a44d027a947874e0a7a4eacf93585021645d61d95a23acd56f5d2d5e0

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=sha256:80159ca22e17caf3923df90c957d765d114326c0775368315728af5663fe8eab

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=sha256:0b90bd3822f7e04b330b7effc6fe3f04fde87a9d5cf07799cbb89fa41eff3fd1

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:a49cb793e1495b71a13490c5dd35605e4c15cbbd46ead878db66e62ce0676f2d

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:a7a163143c23ed63df6f1cddbc8b75f7dedea7230813e60bcbac4ed8dc616808

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=sha256:39f4bdb4a4c1682af4a6bd269d2bacf0f2de2dba008998963df490265411f331

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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no resolver link, observed 2026-08-15T20:31:05.174504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:31:05.174504Z digest=sha256:4f1b9ddc87ea1f868638d6748fa9e1804326c67debb8759a4a99afcc67a3280d

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:ebe0db81aab9ccde77e6a45d6adc5b9ad911becbfdc78a03ed5f88a1ad2c72c9

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=sha256:41504ae841dc32bbf0cf8bb95826a7d67eb6af686c20dbb53f0c26f2d1704a71

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=sha256:59ddc9a1f33ae647939fe20125be658278b5cb35e8bd900777ef27c28e7dd35c

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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no resolver link, observed 2026-08-15T20:31:05.192332Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:31:05.192332Z digest=sha256:be4fe66c4c29180a3c93a30274c4f7947847658e9d30e3b5c7a9c69b1b3f377a

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=sha256:4dba5f115f516c8432292b83748facb8bf95b69faf342a40082cd263fa76aa03

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=sha256:8e28becba520caed923a287927cf995eaee8e779d38636ff158a8047b1f1be1c

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:d3f73ed317177ef8d9d1ffb9263c7a5caa1ac59ef0b5705d0fddcba6eb095f93

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:bb464bf4b6ffb2180d4d753ba30da2f06bbe6010be8efe75e36e5b274a9f5e57

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:c6e6c9afff92219d40450ae22771f59ce45cea85cc0f4b682fc8951e807b10ce

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:a876dd34092dc8ae5961b2de919c16e5a4229071bc13e74581e47ffb767bb647

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=sha256:04e6ef58c4fadd1b11edc97c8bf7e793fed9c8fe78d61acf011e28ba06301e1d

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=sha256:90a8e70d23143d8c9d50088308e30b4c501a4157d539042a831123af83924f8f

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=sha256:97db0c65eacf452fca6c9fbc5fb31540ab64c40264a434458e1c8e3272b314ba

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:f5c9e003aadb3848d9c57a10fb2deb9345c30b577ee7025ca5807ac546df4f69

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:a25fe3a3c8278d88046e3dede162381b05ac32550b50bc1c3b470961a25a9ac7

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=sha256:3b509e4e9b4f600a3691feb2695995b5e64451bbb5ae6fa63317dadd0a41c885

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=sha256:6387e16395ff5585308f0157f559038ca1d7171f61caa3983cd536ca8d602cea

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=sha256:57542dff53ff08f9241fdece96eebd7035c8df5d6c807f5046d624b579d3f2e1

Pith citing papers

No inbound Pith citation observations are available.