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Paper Citation Record · LEDGER

SchemaRAG: Dynamic Large Schema Reduction for LLM-driven Structured Information Extraction

As of 18 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2607.00008.

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

pith.paper-citation-record.v1
2607.00008 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-02T23:54:20.000531Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

33 of 33 outbound references displayed

  • verified exact8
  • verified fuzzy12
  • unresolved2
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch10

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 36a077ea-1c08-4d23-ac86-aba470560ac2 · outbound

This paper cites 2024 , url=.

SchemaRAG: Dynamic Large Schema Reduction for LLM-driven Structured Information Extraction 2024 , url=

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T17:31:22.400056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-02T23:54:20.000531Z digest=sha256:84c9febe2fdc45b635a4fa1c4de07471ceb1e3579f3e3e402e45977cdb5e0642

Observation 66383a67-1513-49e5-808c-e5f2c902c9b3 · outbound

This paper cites Proceedings of the 46th international ACM SIGIR conference on research and development in information retrieval , pages=.

SchemaRAG: Dynamic Large Schema Reduction for LLM-driven Structured Information Extraction Proceedings of the 46th international ACM SIGIR conference on research and development in information retrieval , pages=

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T17:31:22.417012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-02T23:54:20.000531Z digest=sha256:f5eac43bd914a91dd988d7fda8e56bf84150f8470eda6c725f59234939e640a9

Observation 16985cfd-001c-4e0f-a550-4e7e6e2e1458 · outbound

This paper cites Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding.

SchemaRAG: Dynamic Large Schema Reduction for LLM-driven Structured Information Extraction Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T23:57:27.956247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-02T23:54:20.000531Z digest=sha256:b3fc471540c7088ffbb7ebce616cd26ee8ac3c0882bc29c94040886d4bcbeca3

Observation 531ac342-e7a4-47ab-928a-203ab4c7f310 · outbound

This paper cites Journal of Cleaner Production , volume =.

SchemaRAG: Dynamic Large Schema Reduction for LLM-driven Structured Information Extraction Journal of Cleaner Production , volume =

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-02T23:57:27.788863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-02T23:54:20.000531Z digest=sha256:461f49c3393322a98d49543ed004e19331474cb29a37f84803a461426c46ec69

Observation 081aeb5b-0115-4d81-871e-0ebd6ea695ba · outbound

This paper cites Information Integration and Web Intelligence: 26th International Conference, IiWAS 2024, Bratislava, Slovak Republic, December 2–4, 2024, Proceedings, Part I , pages =.

SchemaRAG: Dynamic Large Schema Reduction for LLM-driven Structured Information Extraction Information Integration and Web Intelligence: 26th International Conference, IiWAS 2024, Bratislava, Slovak Republic, December 2–4, 2024, Proceedings, Part I , pages =

Reference 5

Resolution
verified exact
doi, observed 2026-07-02T23:57:27.767931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-02T23:54:20.000531Z digest=sha256:a0773c5a73b2136636f010331487d6c1eec7c92ffe81ec6738c81d750ae09d3c

Observation 0ad5cf36-7017-43e9-8860-207333b2e1e7 · outbound

This paper cites doi: 10.1038/s41467-024-45563-x.

SchemaRAG: Dynamic Large Schema Reduction for LLM-driven Structured Information Extraction doi: 10.1038/s41467-024-45563-x

Reference 6

Resolution
metadata mismatch
doi, observed 2026-07-02T23:57:27.770200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-02T23:54:20.000531Z digest=sha256:72df892216924b7852e27d0807cc9f1576b819949cac3ef1c374cc5ad8495b5a

Observation e3748653-ffd0-434b-8707-7d34ecef2e04 · outbound

This paper cites Learning to Extract Structured Entities Using Language Models.

SchemaRAG: Dynamic Large Schema Reduction for LLM-driven Structured Information Extraction Learning to Extract Structured Entities Using Language Models

Reference 7

Resolution
verified exact
doi, observed 2026-07-02T23:57:27.793455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-02T23:54:20.000531Z digest=sha256:2e5b474f56eec3896e6c68ab7376ba41e3858108a4ea68ee9c09718485391eba

Observation a77489aa-b767-44b3-a4f8-29f3b4a7bb07 · outbound

This paper cites doi: 10.18653/v1/2022.emnlp-main.130.

SchemaRAG: Dynamic Large Schema Reduction for LLM-driven Structured Information Extraction doi: 10.18653/v1/2022.emnlp-main.130

Reference 8

Resolution
metadata mismatch
doi, observed 2026-07-02T23:57:27.780659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-02T23:54:20.000531Z digest=sha256:c112bc982bae9656ffe4f03b3fe48a05a410dbbb2dc389921e5840c0df7f0452

Observation 0c113759-5881-4f3d-9a93-394483587869 · outbound

This paper cites A study of machine-learning-based approaches to extract clinical entities and their assertions from discharge summaries.

SchemaRAG: Dynamic Large Schema Reduction for LLM-driven Structured Information Extraction A study of machine-learning-based approaches to extract clinical entities and their assertions from discharge summaries

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T17:31:22.410482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-02T23:54:20.000531Z digest=sha256:9258af76248ffe570273d64989f583437b5bd2734b53f459bed20ab81fb7da7f

Observation 5a490c8e-9c00-486c-8bb5-dd81790e0ae2 · outbound

This paper cites 2023 , editor =.

SchemaRAG: Dynamic Large Schema Reduction for LLM-driven Structured Information Extraction 2023 , editor =

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T17:31:22.406935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-02T23:54:20.000531Z digest=sha256:ee5c6624b0a7149504551114a310a02552adab007f9f43d48cd371c10af2b701

Observation 6d194ca7-85ba-4c09-a625-c72dd0e51f00 · outbound

This paper cites Multimodal Joint Attribute Prediction and Value Extraction for E-commerce Product.

SchemaRAG: Dynamic Large Schema Reduction for LLM-driven Structured Information Extraction Multimodal Joint Attribute Prediction and Value Extraction for E-commerce Product

Reference 11

Resolution
verified exact
doi, observed 2026-07-02T23:57:27.775750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-02T23:54:20.000531Z digest=sha256:25f980d6c530067e07c326b0c3d793b6b5b57204b7975a14e0b346ad4d1e5a01

Observation eb3daf04-b65f-4cac-8a8d-2bde0d7ee427 · outbound

This paper cites 2025 , eprint=.

SchemaRAG: Dynamic Large Schema Reduction for LLM-driven Structured Information Extraction 2025 , eprint=

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T17:31:22.413718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-02T23:54:20.000531Z digest=sha256:0b185cbb0d2b35d0cd606ecb9e2fce81ec614c547c79ee3d506ba6c2ea1d851d

Observation b3bfffb3-ed14-4097-8b93-b3a926e8ccc4 · outbound

This paper cites TAP4LLM: Table Provider on Sampling, Augmenting, and Packing Semi-structured Data for Large Language Model Reasoning.

SchemaRAG: Dynamic Large Schema Reduction for LLM-driven Structured Information Extraction TAP4LLM: Table Provider on Sampling, Augmenting, and Packing Semi-structured Data for Large Language Model Reasoning

Reference 13

Resolution
verified exact
doi, observed 2026-07-02T23:57:27.772972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-02T23:54:20.000531Z digest=sha256:efa2bafd8d2eaa4ec6a3278fb440c4c327e3dca63d14d568213366955ec4157f

Observation 74f9099d-6783-418c-b3aa-1c1d8dbffb6f · outbound

This paper cites doi: 10.18653/v1/2023.acl-long.551.

SchemaRAG: Dynamic Large Schema Reduction for LLM-driven Structured Information Extraction doi: 10.18653/v1/2023.acl-long.551

Reference 14

Resolution
metadata mismatch
doi, observed 2026-07-02T23:57:27.778339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-02T23:54:20.000531Z digest=sha256:daadb370ca6428237125795f43af392bf9f9931fb10cd10cf3244d34b9f4e713

Observation 642916e7-8cb5-4bce-a051-ca5f60ed6cd9 · outbound

This paper cites Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, and Percy Liang.

SchemaRAG: Dynamic Large Schema Reduction for LLM-driven Structured Information Extraction Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, and Percy Liang

Reference 15

Resolution
verified exact
doi, observed 2026-07-02T23:57:27.791104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-02T23:54:20.000531Z digest=sha256:1a473c2a1c315a2f9019f1fb8731247106ff8fff899d2bf9a4159075bf881600

Observation 183faf77-9695-40c8-8828-4805c743ba9e · outbound

This paper cites InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction.

SchemaRAG: Dynamic Large Schema Reduction for LLM-driven Structured Information Extraction InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction

Reference 16

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T23:57:27.961582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-02T23:54:20.000531Z digest=sha256:ef8543c2a736e3e58ec181d6dd1ec3843005ea9e20d436b5e6b87f2d91181617

Observation 959a3249-6b42-4164-b9a5-73f6cb409c30 · outbound

This paper cites ChatIE: Zero-Shot Information Extraction via Chatting with ChatGPT.

SchemaRAG: Dynamic Large Schema Reduction for LLM-driven Structured Information Extraction ChatIE: Zero-Shot Information Extraction via Chatting with ChatGPT

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T23:57:27.947908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-02T23:54:20.000531Z digest=sha256:56a240ad6b0174f9da239f39145f28250a19db77947b4ce96c0cb3f181c64d96

Observation 746ce989-edc6-459f-b64c-8e05f1b0553d · outbound

This paper cites ExtractGPT: Exploring the Potential of Large Language Models for Product Attribute Value Extraction.

SchemaRAG: Dynamic Large Schema Reduction for LLM-driven Structured Information Extraction ExtractGPT: Exploring the Potential of Large Language Models for Product Attribute Value Extraction

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-07-02T23:57:27.958863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-02T23:54:20.000531Z digest=sha256:bcb8f9f83bfd28b429cec46363781eb19dde79cc09dc8ce17d8bdf5ef617bfc1

Observation 7e422936-dcc0-406d-838f-67ade4d0141e · outbound

This paper cites Advances in Neural Information Processing Systems , editor =.

SchemaRAG: Dynamic Large Schema Reduction for LLM-driven Structured Information Extraction Advances in Neural Information Processing Systems , editor =

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T17:31:22.403616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-02T23:54:20.000531Z digest=sha256:c6c583d437d416be32dcecbc1bd405fe377ed6c4b0ad0b68a66b897eacad211c

Observation c8ea61e2-9853-4387-831a-153330075c28 · outbound

This paper cites 2024 , eprint=.

SchemaRAG: Dynamic Large Schema Reduction for LLM-driven Structured Information Extraction 2024 , eprint=

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T17:31:22.432968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-02T23:54:20.000531Z digest=sha256:922b09152ef08fa6eefcc8383c462d8d6fad90cacbb1b61df97e0d6a3c6a68a3

Observation aad320b5-96c3-461f-b86e-91841a3be374 · outbound

This paper cites Warren, Lu Cheng, Haidar M.

SchemaRAG: Dynamic Large Schema Reduction for LLM-driven Structured Information Extraction Warren, Lu Cheng, Haidar M

Reference 21

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T23:57:27.784095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-02T23:54:20.000531Z digest=sha256:1a779b35c993149e3dae093327e76c634fc7add349e25fcf474c6e82aec5fdcd

Observation fac617a7-4207-4ea4-8249-5488fb07a8a7 · outbound

This paper cites Graph Retrieval-Augmented Generation: A Survey.

SchemaRAG: Dynamic Large Schema Reduction for LLM-driven Structured Information Extraction Graph Retrieval-Augmented Generation: A Survey

Reference 22

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T23:57:27.953422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-02T23:54:20.000531Z digest=sha256:5e03c0372b3cb122854f5b16bba73b9db3047a4f62433de8065563b2a1b8771e

Observation c11c5011-289f-4e5e-bdec-6b8f15ec75bd · outbound

This paper cites Knowledge Graph-based Retrieval-Augmented Generation for Schema Matching.

SchemaRAG: Dynamic Large Schema Reduction for LLM-driven Structured Information Extraction Knowledge Graph-based Retrieval-Augmented Generation for Schema Matching

Reference 23

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T23:57:27.950758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-02T23:54:20.000531Z digest=sha256:7403af349f7af973afaa5c9dfd0983899e6f0f914609e8e5916f940e67026159

Observation 0ebee82b-14a4-4e2c-8dad-4735eb279538 · outbound

This paper cites An Enhanced Prompt-Based LLM Reasoning Scheme via Knowledge Graph-Integrated Collaboration.

SchemaRAG: Dynamic Large Schema Reduction for LLM-driven Structured Information Extraction An Enhanced Prompt-Based LLM Reasoning Scheme via Knowledge Graph-Integrated Collaboration

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T17:31:22.440333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-02T23:54:20.000531Z digest=sha256:735ee26f95dda54992dcd2ccf959b7f1e18631789a9734579472e7fbddc19b58

Observation 765829e1-d5b0-4960-8422-3c71546108f1 · outbound

This paper cites Information Processing.

SchemaRAG: Dynamic Large Schema Reduction for LLM-driven Structured Information Extraction Information Processing

Reference 25

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T23:57:27.758929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-02T23:54:20.000531Z digest=sha256:2f0f398468a912b8c5aa428eba615f3bd3002330e58e256a9228c67e8c021e13

Observation 47ee1e12-d07e-4146-8594-d2823934863a · outbound

This paper cites Large Language Models Encode Clinical Knowledge.

SchemaRAG: Dynamic Large Schema Reduction for LLM-driven Structured Information Extraction Large Language Models Encode Clinical Knowledge

Reference 26

Resolution
verified exact
doi, observed 2026-07-02T23:57:27.795871Z

Source-reported events for the cited work

correction dated 2023-07-27. Source: crossref record 10.1038/s41586-023-06455-0->10.1038/s41586-023-06291-2:correction, observed 2026-07-11T03:08:19.417011+00:00. This notice travels one citation hop only.

source=arxiv_source observed=2026-07-02T23:54:20.000531Z digest=sha256:a7520603ea10bfb78bc9e229459e4f2ba581249e95bcc176beefcd8cbaaa0a2d

Observation 2caa76fc-2795-4763-9744-12b4f4651b01 · outbound

This paper cites Breakthroughs in statistics: Methodology and distribution , pages=.

SchemaRAG: Dynamic Large Schema Reduction for LLM-driven Structured Information Extraction Breakthroughs in statistics: Methodology and distribution , pages=

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T17:31:22.423579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-02T23:54:20.000531Z digest=sha256:09c28d67a4f94cd39bd8e3556a22f1b62af21012ae7d94ddf463e954fae7485a

Observation f1c6243d-747c-4430-939d-b757f42b100a · outbound

This paper cites Biometrika , volume=.

SchemaRAG: Dynamic Large Schema Reduction for LLM-driven Structured Information Extraction Biometrika , volume=

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T17:31:22.396587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-02T23:54:20.000531Z digest=sha256:a218d8319b5d466aa5bfa2e95dc39868b1a81983adcb4a78ab17b9302096cd90

Observation 29a0105f-d21d-49c8-ab19-738f05468a9e · outbound

This paper cites OpenAI , year=.

SchemaRAG: Dynamic Large Schema Reduction for LLM-driven Structured Information Extraction OpenAI , year=

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T17:31:22.420134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-02T23:54:20.000531Z digest=sha256:cd883bd90002ee94a126774dd9708469482070591fc8e1d5cc1223c4de722ec5

Observation effd96f5-a4f5-4a30-afe3-f84558ae28f7 · outbound

This paper cites an unresolved cited work.

SchemaRAG: Dynamic Large Schema Reduction for LLM-driven Structured Information Extraction Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-07-05T17:31:22.427080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-02T23:54:20.000531Z digest=sha256:858c25d06c991bb1d3759de73e45924172699629764d1ccf54487d511145c4c7

Observation 6d54d730-822e-4e12-a2fc-6f096089a1ee · outbound

This paper cites 2025 , howpublished =.

SchemaRAG: Dynamic Large Schema Reduction for LLM-driven Structured Information Extraction 2025 , howpublished =

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T17:31:22.429910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-02T23:54:20.000531Z digest=sha256:b060d5ae3a05092ebe15d8fe372a88ee9b9f755b24047b091b0217a451321017

Observation bfa312fa-475f-41fb-a768-ee45546c0f23 · outbound

This paper cites an unresolved cited work.

SchemaRAG: Dynamic Large Schema Reduction for LLM-driven Structured Information Extraction Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-07-05T17:31:22.443664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-02T23:54:20.000531Z digest=sha256:e02f946f4cbc22fb4dee34b95a1fcc54476a9e6cddae5c44da7863a4df8db566

Observation a1b192df-ffc0-4fdc-ae1d-5294f86de764 · outbound

This paper cites OpenAI , year=.

SchemaRAG: Dynamic Large Schema Reduction for LLM-driven Structured Information Extraction OpenAI , year=

Reference 33

Resolution
parse uncertain
raw_fallback, observed 2026-07-05T17:31:22.436713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-02T23:54:20.000531Z digest=sha256:ad0e70900bb7cf264916378d759b59e82ed95ce5b9eaf6127b558dc5756f8b98

Pith citing papers

No inbound Pith citation observations are available.