Pith. sign in

Paper Citation Record · LEDGER

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

As of 10 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 2026-08-10T06:31:04.303077+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
raw_fallback, observed 2026-08-06T16:58:04.994650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:58:04.369771Z digest=sha256:b8b9accbc0fe9256805e6f053f6e4bb3fede0e0be4fbd807a4c7b0d6301b2170

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:58:04.373307Z digest=sha256:fad50e370abfce07669299d9ad10e186e9e954e0649b3027d7a238377bba3070

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

Resolution
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:58:04.376497Z digest=sha256:738e2afc84cac395a15577bc60e6d731cc41540a93b4484463c6b978c7710205

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:58:04.379467Z digest=sha256:48b113c9b0d609c6718d70906b642c91950935548f07577d1b7b5112895b7d8e

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:58:04.382665Z digest=sha256:0123e82934d3f8a44b1fa185cb844196da515e10f78510c9ab107add66ec08c9

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

Resolution
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=sha256:97ac66ba8537bb77624ad9475fce3c280ca92ddff11f619ff1230650aea68c41

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

Resolution
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=sha256:7d589c8de7d93f2aa1dc0552078f4fa5ca88d39a2bac5839b165751335490aad

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=sha256:4d785aa559bb066651f0f6bd457828f130684a546d8ce82dcda98be63fe9d5b3

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:58:04.395616Z digest=sha256:6905702e1a730ee090bdd2ccd4276c0f6f02444caff0e89323f1bc9e9628506f

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:58:04.398484Z digest=sha256:d4d595a2d1905d3439716fc97065242a3913e9a9335e77095e74f1e28d9aa5d2

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:58:04.401213Z digest=sha256:155e7289bc2fa873fab20709d3e4ef8ddf61a4def36830a8e7e649c8c098d18d

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:58:04.404141Z digest=sha256:c7f05f3e50f129c336a52da717cf84dbdd45fc590bc5a9e6b4cf273143533636

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=sha256:12fb55355b89244990462e422fefd897f49f1139cc094f79ec640e0433248345

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:58:04.410284Z digest=sha256:d3ee82f62882cb581cbeb987dbba5b599dc901b79623b39d49f4a6a70c0b1053

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:d3e067de3e01ba1fce1e9e8c81dcc919303bd4ba1677ecec379ae7ecb1460ffb

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

Resolution
unresolved
no resolver link, observed 2026-08-06T16:58:04.415930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:58:04.415930Z digest=sha256:e36b6a6096f102b280c363320dc648a950a65f0c0c072eea823603f0ad5d1db9

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
unresolved
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=sha256:6322a7f4eb696bcd7f29c6947dee399fffa980794cc2e03f4a3e0238c1a8da86

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=sha256:6e19ca59122d2ce43579a4bffaaf22107a53840caefbf318e9f404a581a08a54

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:f8d0004502c8f665028d908a96b44c9854beca9b7124e10378fceaa5be35a4a5

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:58:04.428768Z digest=sha256:cfa290bc383b00d4c73f3192e5a08d7743eaeb575a57b7b7b9446f4871482c85

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:58:04.431631Z digest=sha256:9525c7d4d3db021d5179b5c1fafbf37c561ea1ba0e2027ecce5d5d5b3f32882e

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
unresolved
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=sha256:2f5ee2cbfe86b37d67b565be0306908d81b33eeb154d8e2d563e1b7559e94845

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:58:04.437755Z digest=sha256:12b5298e60a6586d98c4e7758442e2656e77b6f8358303d785af03841c04ab77

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:58:04.441152Z digest=sha256:8c548cac3aefd88084d46e5bc95ed6160c4ae1f780b9489ea37ef7c85e94637b

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:58:04.445017Z digest=sha256:d68ffbad97ba56576c1e021d1feca64cb2d759595024708720f97b6211695cab

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
unresolved
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=sha256:3230ed27adf2bf3078736f2493381c2b6dcfc47bbd7fcb317b322809a752a63d

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:58:04.451067Z digest=sha256:03520c924fdfe3693188cbb25298264a16b4c465991c6627c6ca48623061ae7d

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=sha256:00ee09fbc932fb38ddb24e385f2b75ed118d68af945a93c060586e3cfcdc8e01

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:58:04.457398Z digest=sha256:8e22e33fc8132cdcc7590dcd35fa49b3529ffdf6c9f30777887b1da23c5661d1

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:58:04.460110Z digest=sha256:05cc2e0bbf6ad5359d8560746eef1a291ed7fe75e6b970d10279e5590916b1cd

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:58:04.463048Z digest=sha256:8bb0d1015780828a4812b2b2e92430a45707b9cd1475a43abb0251b2ca144f3a

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:58:04.465971Z digest=sha256:d1476980b007241da1a0d794d1ca37bd61c56170ec5d7bdeeedca132baeed5cc

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:58:04.469580Z digest=sha256:a5a226391dbe747653bb786ea2cabe1409a92aa6f2e48ffb6553612958b9b2b3

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:58:04.473064Z digest=sha256:3de91ab1e27e73b82e3fd0d46f4c2d13026d98bb40fe4489af4fee07bfb8db34

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:58:04.476051Z digest=sha256:ba2546c4239d20c9d6581c2f8da43e256594dd0769182b04d6dbaa57b988cc36

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:58:04.479527Z digest=sha256:186978dfa1cadc381e4f36ca1aa2cef0ad33de523798312f7a8810cf9f363b64

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:58:04.483284Z digest=sha256:b1337d525d159668c3c864ee4a852ef8141fbd1f3c88d58c784bebf7b54165e0

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:58:04.486092Z digest=sha256:4962c237465b93e1d0e4cb06a15b4cb699d1a3a7f5282ad689242728a91cee1b

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:58:04.489061Z digest=sha256:1fabc3659fdceb322e79ea7dab0d2bb294cdeeb3f559105ac76db7e32e7338c4

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T18:20:00.780280Z digest=sha256:32558f8f30b728e6246feb3d721a5593375687e884ec1edf1dd4ed7c823366b7

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T16:20:31.981340Z digest=sha256:8dbe6245592cd4544ff3afd2be94e513fdd427cacadf240cb3ba303b044029b5

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T01:04:43.546661Z digest=sha256:bf348ed29578d0713615e69126f8c599c93f94dc0ecdb9fe6963bf7ba61f7a22

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-28T01:36:39.557831Z digest=sha256:526a617b2f7665331b70751bc9d886b9bd21414645f6801ab70861f85be948e5

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-26T14:43:47.569905Z digest=sha256:f26dcf38ea58c214849d1fb6257bc77ff5f85e658500fdb8c2c0eed21d6f5cb2