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Paper Citation Record · LEDGER

TGMS: An Agent-Native Bi-Temporal Graph Management System

As of 19 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2607.10265.

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

pith.paper-citation-record.v1
2607.10265 v2

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T07:25:38.162327Z

measured 29 of 29 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

29 of 29 outbound references displayed

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  • verified fuzzy0
  • unresolved29
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7de6d246-b045-4d3e-99e8-5134910f2e7e · outbound

This paper cites Model context protocol.https://modelcontextprotocol.io, 2024.

TGMS: An Agent-Native Bi-Temporal Graph Management System Model context protocol.https://modelcontextprotocol.io, 2024

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:25:35.626546Z digest=sha256:fa850ea4dcc79546d851947ee9217346233c997e09a946aa7461bac5c3f84621

Observation 7e00b1a6-5b6b-4a40-aa82-1b1866d5a9fc · outbound

This paper cites an unresolved cited work.

TGMS: An Agent-Native Bi-Temporal Graph Management System Unresolved cited work

Reference 2

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source=pdf_text observed=2026-08-02T07:25:35.670297Z digest=sha256:084fcb8784a3acbf411b8e5b050b9334e4170efbe96e24d2d3dcab3141afbfea

Observation e6ed55db-1a7a-4b65-aab8-ad786d94137e · outbound

This paper cites A model and query language for temporal graph databases.The VLDB Journal, 30:825–858, 2021.

TGMS: An Agent-Native Bi-Temporal Graph Management System A model and query language for temporal graph databases.The VLDB Journal, 30:825–858, 2021

Reference 3

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source=pdf_text observed=2026-08-02T07:25:35.737227Z digest=sha256:2806b0522ae3385b69fb79902f0b80efb3cebedcda831510eb2bff98461b75b1

Observation ed1e63db-8bc2-4b87-b839-1f85efd1db53 · outbound

This paper cites Chain-of-Verification Reduces Hallucination in Large Language Models.

TGMS: An Agent-Native Bi-Temporal Graph Management System Chain-of-Verification Reduces Hallucination in Large Language Models

Reference 4

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source=pdf_text observed=2026-08-02T07:25:35.785755Z digest=sha256:e3d6724b6bdd223ba09ac71e39f5127fb962c5f9eda7f5940cd5c1a5ad69100e

Observation 09eb42ee-49c4-46aa-9d70-1058a0d19bea · outbound

This paper cites From Local to Global: A Graph RAG Approach to Query-Focused Summarization.

TGMS: An Agent-Native Bi-Temporal Graph Management System From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Reference 5

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:25:35.949882Z digest=sha256:d67ecfed64c484ec52b288e2d91e7750a9fcdd34c583b430aff60e9495768e7d

Observation 185622cc-c61d-48f2-8dc7-ac256933b683 · outbound

This paper cites K` uzu graph database management system.

TGMS: An Agent-Native Bi-Temporal Graph Management System K` uzu graph database management system

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:25:36.046049Z digest=sha256:ce62571bb4155e6364eb1cc4e9c34c4cc29bc591675ffe29f1dd256272bbd7f6

Observation 9bcfb8cb-82fc-4ba2-b048-8fb020b1ad12 · outbound

This paper cites Zhao, Ni Lao, Hongrae Lee, Da-Cheng Juan, and Kelvin Guu.

TGMS: An Agent-Native Bi-Temporal Graph Management System Zhao, Ni Lao, Hongrae Lee, Da-Cheng Juan, and Kelvin Guu

Reference 7

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source=pdf_text observed=2026-08-02T07:25:36.154610Z digest=sha256:d8fe155c963d40bbf77eb1ecc8fc2fe214bd8be5b86d9d7cf1bcf31e1f16dec5

Observation 18b76b05-d551-4cd5-a4f3-a1f0539da28c · outbound

This paper cites PAL: Program-aided language models.

TGMS: An Agent-Native Bi-Temporal Graph Management System PAL: Program-aided language models

Reference 8

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source=pdf_text observed=2026-08-02T07:25:36.257118Z digest=sha256:25afa38fa2e9649d7bdc3263daa806789805cbf78a81fe6a088f6c17f160427b

Observation 71922086-a024-4889-81f7-a4178921be06 · outbound

This paper cites HippoRAG: Neurobiologically inspired long-term memory for large language models.

TGMS: An Agent-Native Bi-Temporal Graph Management System HippoRAG: Neurobiologically inspired long-term memory for large language models

Reference 9

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source=pdf_text observed=2026-08-02T07:25:36.314578Z digest=sha256:a28fd421781975f1b0ec69b5b2e10c3c0c741356932b17bd7342237311ab5ca8

Observation fd7afb0b-b1d3-4beb-b822-4bd5d5bc52f6 · outbound

This paper cites Temporal networks.Physics Reports, 519(3):97–125, 2012.

TGMS: An Agent-Native Bi-Temporal Graph Management System Temporal networks.Physics Reports, 519(3):97–125, 2012

Reference 10

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:25:36.379656Z digest=sha256:e3cc8e92f835f1e25529d2820346f0c2735d82721d10dc0ed9f549fed1725230

Observation 282321af-c8fe-4c2d-a856-72a614ed15fe · outbound

This paper cites Aeong: An efficient built-in temporal support in graph databases.Proceedings of the VLDB Endowment, 17(6):1515–1527, 2024.

TGMS: An Agent-Native Bi-Temporal Graph Management System Aeong: An efficient built-in temporal support in graph databases.Proceedings of the VLDB Endowment, 17(6):1515–1527, 2024

Reference 11

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source=pdf_text observed=2026-08-02T07:25:36.423984Z digest=sha256:9112854901c3aa0e60257efd391305bc7493531be18cc5b22c607d8ac91de115

Observation b2014566-712f-499c-a260-4cdb6abfea00 · outbound

This paper cites Tem- poral graph benchmark for machine learning on temporal graphs.

TGMS: An Agent-Native Bi-Temporal Graph Management System Tem- poral graph benchmark for machine learning on temporal graphs

Reference 12

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:25:36.498227Z digest=sha256:45a482cbd5ac9c56a7bed5d61132164b51a172164fcf3f9811568862268aa573

Observation b9e99edd-d0da-41b6-a555-3a95ed4d2763 · outbound

This paper cites Mahoney, Kurt Keutzer, and Amir Gholami.

TGMS: An Agent-Native Bi-Temporal Graph Management System Mahoney, Kurt Keutzer, and Amir Gholami

Reference 13

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source=pdf_text observed=2026-08-02T07:25:36.594911Z digest=sha256:7e91476e4bd6ebb671212d5462876aa5ef1b79a59ab0fe63db04d3c843975eba

Observation f79c91e9-b6f6-478e-bcba-6facc3d9fa1a · outbound

This paper cites ToolGate: Contract-grounded and verified tool execution for LLMs.

TGMS: An Agent-Native Bi-Temporal Graph Management System ToolGate: Contract-grounded and verified tool execution for LLMs

Reference 14

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source=pdf_text observed=2026-08-02T07:25:36.650557Z digest=sha256:cf4b3ea939528fdd651a8614948d32eec8d92b0760d23ba25dc20b9ec13162e6

Observation c03fa893-e438-497f-bb2d-07a5797f3e8d · outbound

This paper cites F ActScore: Fine-grained atomic evaluation of factual precision in long form text generation.

TGMS: An Agent-Native Bi-Temporal Graph Management System F ActScore: Fine-grained atomic evaluation of factual precision in long form text generation

Reference 15

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source=pdf_text observed=2026-08-02T07:25:36.716077Z digest=sha256:e3a87a72227b5725498a22128c03cea73b9e346b175468f63978ce6013298783

Observation 6d968f66-baed-4c47-aa71-b6fdd02e393b · outbound

This paper cites an unresolved cited work.

TGMS: An Agent-Native Bi-Temporal Graph Management System Unresolved cited work

Reference 16

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source=pdf_text observed=2026-08-02T07:25:36.776670Z digest=sha256:2b5d0ecd37609d352cdae27d3a06a325105fabb0f8bba94b09f13d188bb9e681

Observation 51384d4a-697d-4875-bdab-b7927464a5ba · outbound

This paper cites Benson, and Jure Leskovec.

TGMS: An Agent-Native Bi-Temporal Graph Management System Benson, and Jure Leskovec

Reference 17

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source=pdf_text observed=2026-08-02T07:25:36.850536Z digest=sha256:467017f15787d3c8a80e2796e2ff778e1e237dac2c43782d683c0e174a08a2e8

Observation 6a93b5c2-c91b-4662-8c77-c64c99b6c2c1 · outbound

This paper cites Duckdb: An embeddable analytical database.

TGMS: An Agent-Native Bi-Temporal Graph Management System Duckdb: An embeddable analytical database

Reference 18

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source=pdf_text observed=2026-08-02T07:25:36.960883Z digest=sha256:a2e8c91003e3fc9b9e71fd9a1650639f3648640213b4396c7c931e01a73eb2a5

Observation 8baf3860-dc5b-4b36-8f54-ebd68a12ab8c · outbound

This paper cites Zep: A Temporal Knowledge Graph Architecture for Agent Memory.

TGMS: An Agent-Native Bi-Temporal Graph Management System Zep: A Temporal Knowledge Graph Architecture for Agent Memory

Reference 19

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source=pdf_text observed=2026-08-02T07:25:37.090031Z digest=sha256:e93b0e44fef8ae66054ea4dc719b6df334d9204ea58d080a1d2b9591c715cb6d

Observation ca530367-4aa4-4ce6-b031-7cb7734fcbf1 · outbound

This paper cites Distributed temporal graph analytics with GRADOOP.The VLDB Journal, 31:375–401, 2022.

TGMS: An Agent-Native Bi-Temporal Graph Management System Distributed temporal graph analytics with GRADOOP.The VLDB Journal, 31:375–401, 2022

Reference 20

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source=pdf_text observed=2026-08-02T07:25:37.165303Z digest=sha256:57e5657d45e4f89832ffff141dfa8c4f8128231440d4a18d1547d1b1aefa00db

Observation ecc906df-a2b9-4b5a-a998-9f5e1540f0c4 · outbound

This paper cites Question answering over tem- poral knowledge graphs.

TGMS: An Agent-Native Bi-Temporal Graph Management System Question answering over tem- poral knowledge graphs

Reference 21

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source=pdf_text observed=2026-08-02T07:25:37.308545Z digest=sha256:8de2d3f90fd12650adf83c55d5f9c1ec84fc83489c15940ed9f2b51a50743573

Observation 6c4ea8f3-b396-4268-b655-9421932cba69 · outbound

This paper cites Toolformer: Language models can teach themselves to use tools.

TGMS: An Agent-Native Bi-Temporal Graph Management System Toolformer: Language models can teach themselves to use tools

Reference 22

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source=pdf_text observed=2026-08-02T07:25:37.383626Z digest=sha256:4149d539bee3f279fe35d0a95c4b28f383cc9a3dd8b7edb9f3b4b44b4563e87e

Observation 4dd2de79-15c8-490e-bf29-1410d9f13ae7 · outbound

This paper cites Cultivating multidisciplinary research and education on gpu infrastructure for mid-south institutions at the university of memphis: Practice and challenge, 2025.

TGMS: An Agent-Native Bi-Temporal Graph Management System Cultivating multidisciplinary research and education on gpu infrastructure for mid-south institutions at the university of memphis: Practice and challenge, 2025

Reference 23

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source=pdf_text observed=2026-08-02T07:25:37.477145Z digest=sha256:50fdd152c61ac3e8b2837268944aa3db0467f02be9c05204c5aaa1272805512a

Observation 34ec8cae-1e5e-4465-a646-ff358cf5d55b · outbound

This paper cites Snodgrass.Developing Time-Oriented Database Applications in SQL.

TGMS: An Agent-Native Bi-Temporal Graph Management System Snodgrass.Developing Time-Oriented Database Applications in SQL

Reference 24

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source=pdf_text observed=2026-08-02T07:25:37.620117Z digest=sha256:abfd9e84f7ae5429c6855020c938400db44c084115f848e21515c2b3d8d51a84

Observation e67afcf8-806d-4b92-8be3-93b3fe3f20b8 · outbound

This paper cites From Agent Traces to Trust: A Survey of Evidence Tracing and Execution Provenance in LLM Agents.

TGMS: An Agent-Native Bi-Temporal Graph Management System From Agent Traces to Trust: A Survey of Evidence Tracing and Execution Provenance in LLM Agents

Reference 25

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source=pdf_text observed=2026-08-02T07:25:37.764290Z digest=sha256:f7800bdefd24a8371dfde60bb5380ea39d4992459864fa92a23775e265ae5a7e

Observation 51c59946-d507-4b1f-adfa-83b9c943475f · outbound

This paper cites TOKI: A Bitemporal Operator Algebra for Contradiction Resolution in LLM-Agent Persistent Memory.

TGMS: An Agent-Native Bi-Temporal Graph Management System TOKI: A Bitemporal Operator Algebra for Contradiction Resolution in LLM-Agent Persistent Memory

Reference 26

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source=pdf_text observed=2026-08-02T07:25:37.880951Z digest=sha256:2bfc0a577b72ddfd6632de345bda200ac6daa202bc14d39c72a9f9999e2146d3

Observation 4a847097-e60b-49d1-8bd9-e240547efd47 · outbound

This paper cites Path problems in temporal graphs.Proceedings of the VLDB Endowment, 7(9):721–732, 2014.

TGMS: An Agent-Native Bi-Temporal Graph Management System Path problems in temporal graphs.Proceedings of the VLDB Endowment, 7(9):721–732, 2014

Reference 27

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source=pdf_text observed=2026-08-02T07:25:37.984210Z digest=sha256:5968c5127d1059f9edd0ebed0aed084bed081aef3c5f6017d1606389747266ed

Observation ed4b7d8d-f5b7-42de-84cc-0d740d969d66 · outbound

This paper cites ReAct: Synergizing reasoning and acting in language models.

TGMS: An Agent-Native Bi-Temporal Graph Management System ReAct: Synergizing reasoning and acting in language models

Reference 28

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source=pdf_text observed=2026-08-02T07:25:38.090751Z digest=sha256:35d034abd8af0c5d5bc037a1d0d64dcf6e904cc4098e424f79ebeec7e8edaca2

Observation db3dbf44-846e-4bd4-8f63-18ce3abd5d8e · outbound

This paper cites Spider: A large-scale human-labeled dataset for complex and cross-domain semantic parsing and text-to-SQL task.

TGMS: An Agent-Native Bi-Temporal Graph Management System Spider: A large-scale human-labeled dataset for complex and cross-domain semantic parsing and text-to-SQL task

Reference 29

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source=pdf_text observed=2026-08-02T07:25:38.162327Z digest=sha256:2f8ba6f15c29913836aeddccde0d2d57c22899269a8c8abcff13e159634c3343

Pith citing papers

No inbound Pith citation observations are available.