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Paper Citation Record · LEDGER

DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning

As of 8 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 5 inbound Pith citation observations for arXiv:2507.13396.

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

pith.paper-citation-record.v1
2507.13396 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:58:04.489061Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T01:36:39.557831Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:09:38.082057Z

Reference resolution

39 of 39 outbound references displayed

  • verified exact2
  • verified fuzzy23
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7870383d-601e-4782-bd25-35ce6d2dfc7a · outbound

This paper cites A survey on large language model (llm) security and privacy: The good, the bad, and the ugly.

DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning A survey on large language model (llm) security and privacy: The good, the bad, and the ugly

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 2df642c8-6f08-419a-aedc-ccdc749e6432 · outbound

This paper cites we interpret this as looking for the relevant period after 1970.

DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning we interpret this as looking for the relevant period after 1970

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:58:04.984612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 1a34e9ff-c474-4c0c-bf83-d6372c2d1cc0 · outbound

This paper cites an unresolved cited work.

DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning Unresolved cited work

Reference 3

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unresolved
raw_fallback, observed 2026-08-06T16:58:04.976192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 65bc56ef-e43b-4633-8123-03d9b7b473c3 · outbound

This paper cites - Event #29 [1979]: Manuel García Velarde started to work at the National University of Distance Education in 1979.

DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning - Event #29 [1979]: Manuel García Velarde started to work at the National University of Distance Education in 1979

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:58:04.967844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:58:04.379467Z digest=sha256:32a7bdc8d096990221edf83e617bcb107bea86fa41815194675e94fcf9fbd0a0

Observation 88509b89-e84a-49a0-aa0c-f15c3c1d3c84 · outbound

This paper cites Université libre de Bruxelles is a prominent university in Belgium that has contributed significantly to scientific advancements.

DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning Université libre de Bruxelles is a prominent university in Belgium that has contributed significantly to scientific advancements

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:58:04.958901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:58:04.382665Z digest=sha256:b8832755a3369d2bc5a4b415312b7e73d3fe1bb6da7b89e14b095b343c1f3020

Observation a2609f51-153f-4682-bc10-983b1b3fdf00 · outbound

This paper cites A survey on rag meeting llms: Towards retrieval-augmented large language models.

DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning A survey on rag meeting llms: Towards retrieval-augmented large language models

Reference 6

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unresolved
no resolver link, observed 2026-08-06T16:58:04.385643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:58:04.385643Z digest=sha256:e2e77db97843a4d8871c42450fb4ad4e528df1d864de96dc3e80f485e0121987

Observation c2abd692-fb11-4427-960d-1fa5edee9f9c · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 7

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unresolved
no resolver link, observed 2026-08-06T16:58:04.388681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:58:04.388681Z digest=sha256:06597b05f0cc11f08182ca0c0faad1a1e84d06603cadfe8774f54e0cc570661f

Observation c8a8ef0b-f524-4861-985b-bd0f84ed6bdb · outbound

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

DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning Graph Retrieval-Augmented Generation: A Survey

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T16:58:04.392454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:58:04.392454Z digest=sha256:cae45990a90961aab0a98c0e809f737375349f7e66c8e204ceb5b708e296e8c3

Observation 4e2db25a-6ef0-4667-9239-67cd342afda2 · outbound

This paper cites Timeline sum- marization in the era of llms.

DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning Timeline sum- marization in the era of llms

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:58:04.873768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:58:04.395616Z digest=sha256:1a88dfdfce4fe38edd0ce164db17923932281dcb9fa24d520b1d139e5a23d4d6

Observation 9ffd9da7-5cf7-4953-bc3d-a50c6d3d899c · outbound

This paper cites Historyquest: Arabic question answering in egyptian history with llm fine-tuning and transformer models.

DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning Historyquest: Arabic question answering in egyptian history with llm fine-tuning and transformer models

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:58:04.865280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:58:04.398484Z digest=sha256:31bfb160e038f98a1daad6813ad23b0fe36ded3e8acd64260a9c5d03d3409df3

Observation ff397f3f-d3f3-4df8-bf8d-272f890b5e9e · outbound

This paper cites G-retriever: Retrieval-augmented generation for textual graph un- 16 derstanding and question answering.

DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning G-retriever: Retrieval-augmented generation for textual graph un- 16 derstanding and question answering

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:58:04.855751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:58:04.401213Z digest=sha256:d03db24e7cf4da2c137950261049814c8e4e2d8fbc2c1de4fc3014c1170c30b9

Observation b480c1f7-39fc-4494-ad05-0fd13c7da750 · outbound

This paper cites The power of noise: Redefin- ing retrieval for rag systems.

DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning The power of noise: Redefin- ing retrieval for rag systems

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:58:04.843228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:58:04.404141Z digest=sha256:7f478057ced740dd3aa94435ecdec8a40075fecfb02d9554b38319ade7756302

Observation e10c45ef-d83c-4393-9715-6183fef9f393 · outbound

This paper cites The Chronicles of RAG: The Retriever, the Chunk and the Generator.

DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning The Chronicles of RAG: The Retriever, the Chunk and the Generator

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T16:58:04.407254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:58:04.407254Z digest=sha256:39bcd823682fe02724d255fcaaeb449f194419eef2bc6b7ffff9b43a03d761d5

Observation 2191ae42-2f5b-4958-85a5-7b6a9bb90791 · outbound

This paper cites Improving the domain adaptation of retrieval augmented generation (rag) models for open domain question answering.

DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning Improving the domain adaptation of retrieval augmented generation (rag) models for open domain question answering

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:58:04.834551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:58:04.410284Z digest=sha256:1aa34f06a463d78d93dfa35055bdac88a627ad56578bf955fc24b86ab4798984

Observation ed62eaf7-5115-4588-8dbf-0a1ece2980d3 · outbound

This paper cites Self-rag: Learn- ing to retrieve, generate, and critique through self-reflection.

DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning Self-rag: Learn- ing to retrieve, generate, and critique through self-reflection

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T16:58:04.413060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:58:04.413060Z digest=sha256:479c4cefb6b64a9c5f2cd119aba20648c08a29ffbd081906c20b71c42ebe1ec9

Observation 43908c9d-7c2b-42e2-96d4-a6582db62ab5 · outbound

This paper cites an unresolved cited work.

DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning Unresolved cited work

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:58:04.415930Z digest=sha256:acb3bddf409e611de04c8fde9a2977ab313fda2bee2f2024f2687287c2c44254

Observation df391037-7b01-446a-9668-18cf060fc06c · outbound

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

DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Reference 17

Resolution
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no resolver link, observed 2026-08-06T16:58:04.419485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:58:04.419485Z digest=sha256:43710e592ab47722bd060f9f928d2a7abd2ce7f42711e355aaa3d3514ae08649

Observation 9e0e495e-2f65-407e-b3ab-915b194696dd · outbound

This paper cites Lightrag: Simple and fast retrieval-augmented generation.

DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning Lightrag: Simple and fast retrieval-augmented generation

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T16:58:04.423036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:58:04.423036Z digest=sha256:67a53731559ffc2c3f04c805e1df7ca0cd215cec66a3f8470685ed0bd6c0157f

Observation a0d4a85f-0ee6-462f-b13e-a42da517696d · outbound

This paper cites E^2GraphRAG: Streamlining Graph-based RAG for High Efficiency and Effectiveness.

DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning E^2GraphRAG: Streamlining Graph-based RAG for High Efficiency and Effectiveness

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T16:58:04.425716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:58:04.425716Z digest=sha256:a2bf93fea222e09c5b3ebbd996f9b7692d1ff4bcffede1dab9b88cfa242b0d89

Observation 2335638f-511c-43d6-a621-f024d30d18a6 · outbound

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

DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning Hipporag: Neurobiologically inspired long-term memory for large language models

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:58:04.816098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:58:04.428768Z digest=sha256:3f377576a39dc5a1444c5cbdd07b2d15a809b76ffe79ec59ec1282b1f356deb0

Observation 6913457b-c7a2-48ca-80a1-0227f31c0dca · outbound

This paper cites Hybridrag: Integrating knowledge graphs and vector retrieval augmented generation for efficient information extraction.

DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning Hybridrag: Integrating knowledge graphs and vector retrieval augmented generation for efficient information extraction

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:58:04.807806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:58:04.431631Z digest=sha256:7a1ee55ae18607e550c5f1cc16bde2a4b0ac302d9f981f1938a0f6cac4fa1379

Observation e4c96b65-0b05-4158-aea1-c8386b3a857c · outbound

This paper cites It's High Time: A Survey of Temporal Question Answering.

DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning It's High Time: A Survey of Temporal Question Answering

Reference 22

Resolution
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no resolver link, observed 2026-08-06T16:58:04.434408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:58:04.434408Z digest=sha256:47bbe5aaf56fe78c9664ef121c39876383b9bc59f4379c9ee7d61abb9f059d44

Observation 8e874254-fc8a-47a0-9875-82972fc785c6 · outbound

This paper cites Chain-of-timeline: Enhancing llm zero-shot temporal reasoning with sql-style timeline formalization.

DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning Chain-of-timeline: Enhancing llm zero-shot temporal reasoning with sql-style timeline formalization

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:58:04.798712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:58:04.437755Z digest=sha256:cc98d3805cf9d56be5d49d0ee7c998fb692fcbeb2f21c9c9209ee55770ec320e

Observation f6383ac4-1de5-48e1-b0c7-790a1b25813a · outbound

This paper cites Timer4: Time-aware retrieval-augmented large language models for temporal knowl- edge graph question answering.

DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning Timer4: Time-aware retrieval-augmented large language models for temporal knowl- edge graph question answering

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:58:04.790567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:58:04.441152Z digest=sha256:955b17779640ce56df4008b1175a1db7a0b721ec722537dbcbeffce6289ed8a1

Observation b3c2b7b7-8720-44ef-9dd2-d2add8200f9c · outbound

This paper cites Back to the future: To- wards explainable temporal reasoning with large language models.

DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning Back to the future: To- wards explainable temporal reasoning with large language models

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:58:04.781391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:58:04.445017Z digest=sha256:5d8e6c51c9f196362adaed4ba0093598c91dd580c5152be84d67d4d89a0a13bc

Observation 73dcbfa7-4408-434b-9c40-1e0febc744a8 · outbound

This paper cites Two-stage Generative Question Answering on Temporal Knowledge Graph Using Large Language Models.

DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning Two-stage Generative Question Answering on Temporal Knowledge Graph Using Large Language Models

Reference 26

Resolution
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no resolver link, observed 2026-08-06T16:58:04.447597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:58:04.447597Z digest=sha256:72928f05317de3a7b39fa4954fb6ee4f273a894e6f07fd876293240379ef7c2b

Observation f4b79607-14ae-4727-8896-d9f05f6ff287 · outbound

This paper cites Temporal Knowledge Question Answering via Abstract Reasoning Induction.

DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning Temporal Knowledge Question Answering via Abstract Reasoning Induction

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-08-06T16:58:04.553053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:58:04.451067Z digest=sha256:eb6746d50c3755cc760e82cc54b93f9ef69d5689d66efb2cbd25aeb91b720039

Observation 6e341c89-d06f-4749-996e-0e6924a222f3 · outbound

This paper cites Retrieval-Augmented Generation with Graphs (GraphRAG).

DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T16:58:04.454027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:58:04.454027Z digest=sha256:67321e400a0148198260c2c7d5c63acdd1b00c6af571e3739730cf2e6092dc4f

Observation 123a5e97-6f98-4b1d-a8d0-2c626b83d697 · outbound

This paper cites Chi, Quoc V.

DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning Chi, Quoc V

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:58:04.773038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:58:04.457398Z digest=sha256:6775783f8dc5468500ebc315209d94a6064ce81c5269b969ad395a9111dea0a5

Observation 3193e4c9-6b48-45b8-acbe-bbcced5a6d4e · outbound

This paper cites On the Explanatory Power of Decision Trees.

DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning On the Explanatory Power of Decision Trees

Reference 30

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T16:58:04.532139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:58:04.460110Z digest=sha256:fc1151c612c71e48795a829c6ccdb6362d35cc28a93bc0e9f0c8ef156ee5c026

Observation ce8ade40-48ea-4640-bcbd-786bfb1c4203 · outbound

This paper cites Towards benchmarking and improving the temporal reasoning capability of large language models.

DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning Towards benchmarking and improving the temporal reasoning capability of large language models

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:58:04.764544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:58:04.463048Z digest=sha256:e62ad95b4eb1bf8dba3a1c1321fde9e954d915efb0596f875b0cbb6c2c9e2966

Observation b9155156-51a8-40f9-b4d2-0d3fda90fc40 · outbound

This paper cites Towards Robust Temporal Reasoning of Large Language Models via a Multi-Hop QA Dataset and Pseudo-Instruction Tuning.

DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning Towards Robust Temporal Reasoning of Large Language Models via a Multi-Hop QA Dataset and Pseudo-Instruction Tuning

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-08-06T16:58:04.519361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:58:04.465971Z digest=sha256:5abb0f0fdce151d0ff5b1f009113c3badef273d56810e9575a5fb50cb3a8a7f3

Observation 78d3e7bb-5ca4-4701-9ed9-1b824c27eb80 · outbound

This paper cites Wikipedia, the Free Encyclopedia.

DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning Wikipedia, the Free Encyclopedia

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:58:04.755240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:58:04.469580Z digest=sha256:8edf7f0559bfb154f330fb9bd8dfd3d54c0f912f8ac8b93b228494e0f35cac47

Observation ffd3ba1c-a666-499f-afe2-66dde63224cd · outbound

This paper cites Retrieval- augmented generation for knowledge-intensive nlp tasks.

DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning Retrieval- augmented generation for knowledge-intensive nlp tasks

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:58:04.746797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:58:04.473064Z digest=sha256:95ffc779bb2d8f9143af6d55cb51f72f12299164b42465eaeb5f02f291a6c68f

Observation 96a105fe-08ca-429d-93f3-68d207877660 · outbound

This paper cites Qwen2: The next generation of qwen language models, 2024.

DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning Qwen2: The next generation of qwen language models, 2024

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:58:04.737319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:58:04.476051Z digest=sha256:60ba94d64f7c5b18c632ceffa8459ab6a575a56f95f5e2f43139bbc2b25b3b7e

Observation d0ed1c08-521a-46b3-9bed-9af4925db729 · outbound

This paper cites Bge-m3: A multilingual, multi-task, multi-vector embedding model, 2024.

DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning Bge-m3: A multilingual, multi-task, multi-vector embedding model, 2024

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:58:04.728796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:58:04.479527Z digest=sha256:8301fa39c4cdf9da560772fdca9d1e3eda82ee31abccfac2df6ef338e9480e05

Observation ef73a6f5-66c3-4ec5-af84-a5cb83676525 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.

DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:58:04.719038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:58:04.483284Z digest=sha256:6b1adbc1ee7144df9d10f51e981bc026f2e26a9a92e6e2feb0ea0f43903d9324

Observation 26405a63-ec72-4303-9e1f-eda93fc20b51 · outbound

This paper cites Tinybert: Distilling bert for natural language understanding.

DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning Tinybert: Distilling bert for natural language understanding

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:58:04.708976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:58:04.486092Z digest=sha256:5f7fde22aee0ef00305e3347b4a59c22460a91050b712b20a424e9e9e85b3a0e

Observation 928942fb-b966-477d-95ad-dbff8c160b62 · outbound

This paper cites In-depth analysis of graph-based rag in a unified framework, 2025.

DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning In-depth analysis of graph-based rag in a unified framework, 2025

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:58:04.700316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:58:04.489061Z digest=sha256:b73158c79f6f7c52ef45935e9abea149a42c5d1257f20ba9eed37ed20c65ca40

Pith citing papers

Observation d4d75925-be66-4544-ad73-16649404e4f4 · inbound

Event-Centric World Modeling with Memory-Augmented Retrieval for Embodied Decision-Making cites this paper.

Event-Centric World Modeling with Memory-Augmented Retrieval for Embodied Decision-Making DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:45:50.255671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T18:20:00.780280Z digest=sha256:c0ec01a637c5174e3153fdd843f7dbefff20473ce6b70c4929c2918bf27217db

Observation 5e1162be-2776-4ef9-9b12-774c60507f40 · inbound

Knowledge Is Not Static: Order-Aware Hypergraph RAG for Language Models cites this paper.

Knowledge Is Not Static: Order-Aware Hypergraph RAG for Language Models DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:00:59.662935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T16:20:31.981340Z digest=sha256:44e20280a6823ba825a60f0e2f5af94c0d237b11114986eb86c959e164df17af

Observation 0d094beb-ac48-4098-a222-873367a28aaa · inbound

Chronological Knowledge Retrieval: A Retrieval-Augmented Generation Approach to Construction Project Documentation cites this paper.

Chronological Knowledge Retrieval: A Retrieval-Augmented Generation Approach to Construction Project Documentation DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:08:25.943045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T01:04:43.546661Z digest=sha256:d472d09fb9fa444f953f38b491abb59984b32348ec181f441166c42c54aa8286

Observation 5a8944f7-4a08-4b45-baad-8b2b00551357 · inbound

IA-RAG: Interval-Algebra-Driven Temporal Reasoning for Dynamic Knowledge Retrieval cites this paper.

IA-RAG: Interval-Algebra-Driven Temporal Reasoning for Dynamic Knowledge Retrieval DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T13:06:59.021677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-28T01:36:39.557831Z digest=sha256:663b3e73798f47317cf0b79fb1f52d09c6915a3189d3794ff9f400542e7740da

Observation e6084f92-2c0a-4909-9e86-158b16585d7e · inbound

PulseCX: Breaking the Closed-World Assumption in Real-Time CX cites this paper.

PulseCX: Breaking the Closed-World Assumption in Real-Time CX DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T06:09:38.084403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-26T14:43:47.569905Z digest=sha256:57a1f43d472f4179f1143712fcab1462b296cb7954480cd6e171bce0542ce928