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Paper Citation Record · LEDGER

Harnessing Pre-Resolution Signals for Future Prediction Agents

As of 4 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2604.15719.

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

pith.paper-citation-record.v1
2604.15719 v3

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-11T02:01:05.101225Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+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

16 of 16 outbound references displayed

  • verified exact6
  • verified fuzzy1
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch9

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 82b0f1c1-8c8d-4f68-a88f-48f431475f1b · outbound

This paper cites GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning.

Harnessing Pre-Resolution Signals for Future Prediction Agents GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T07:26:20.435474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T02:01:05.101225Z digest=sha256:0dfa6bfe65281244745a45237bc3dde5f92d06ea988b042529be27d5294042d5

Observation d2b7ee5e-6f80-4392-92be-df32eba898e9 · outbound

This paper cites Bench to the Future: A Pastcasting Benchmark for Forecasting Agents.

Harnessing Pre-Resolution Signals for Future Prediction Agents Bench to the Future: A Pastcasting Benchmark for Forecasting Agents

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T04:00:56.065413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T02:01:05.101225Z digest=sha256:9038dcc16e2e3c85aa1af5dd1cadb8646629441b4ca1ee29cd99b0f29643ce86

Observation e36a2b72-5118-4e34-b1fa-bf959b771724 · outbound

This paper cites Approaching Human-Level Forecasting with Language Models.

Harnessing Pre-Resolution Signals for Future Prediction Agents Approaching Human-Level Forecasting with Language Models

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T04:00:56.060342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T02:01:05.101225Z digest=sha256:807b62835e811a193bdc975053ebeee95a3a0f0457e5c171f6f5875e1c28960e

Observation 2504f654-647a-4a2d-911f-bccfa89e6cf1 · outbound

This paper cites ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data.

Harnessing Pre-Resolution Signals for Future Prediction Agents ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:00:56.099870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T02:01:05.101225Z digest=sha256:5b9d4a1f1bb2cf4955c00eff6368ac7726198835446d650eb86e27724ca826ce

Observation f1fefb9d-7128-4a71-b305-ee2a830d6294 · outbound

This paper cites Grégoire Mialon, Clémentine Fourrier, Thomas Wolf, Yann LeCun, and Thomas Scialom.

Harnessing Pre-Resolution Signals for Future Prediction Agents Grégoire Mialon, Clémentine Fourrier, Thomas Wolf, Yann LeCun, and Thomas Scialom

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T14:41:23.990801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T02:01:05.101225Z digest=sha256:589f54a57e4c79ad4ae2257cddfe4abeb9e602db805011494ef648fad38a931a

Observation 927229c5-a551-4269-aa4a-fd83efb16819 · outbound

This paper cites Flash-searcher: Fast and effective web agents via dag-based parallel execution.arXiv preprint arXiv:2509.25301.

Harnessing Pre-Resolution Signals for Future Prediction Agents Flash-searcher: Fast and effective web agents via dag-based parallel execution.arXiv preprint arXiv:2509.25301

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:00:56.041013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T02:01:05.101225Z digest=sha256:b77ea281ddd72e4c3f5ed9e0537b74cc5dee1e2b459da64d520340115dbf3c28

Observation 537246c8-74f3-4ec4-9708-184c1fff1e96 · outbound

This paper cites Reflexion: Language Agents with Verbal Reinforcement Learning.

Harnessing Pre-Resolution Signals for Future Prediction Agents Reflexion: Language Agents with Verbal Reinforcement Learning

Reference 7

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T04:00:56.071509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T02:01:05.101225Z digest=sha256:fec31daf0266bf4343dfa1b3f3234d866aa77c6e7cf557c4fc7fd2821777bedb

Observation 19930e3c-27da-4b7e-af65-e2427144f384 · outbound

This paper cites Agent kb: Leveraging cross-domain experience for agentic problem solving.

Harnessing Pre-Resolution Signals for Future Prediction Agents Agent kb: Leveraging cross-domain experience for agentic problem solving

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:00:56.091121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T02:01:05.101225Z digest=sha256:733060c04cd69a40cb29c11b28370552b815705abfd47f225724e8200d6f1181

Observation d39aaca7-baea-43d1-821f-f3e43657aca2 · outbound

This paper cites arXiv preprint arXiv:2601.06336 , year =.

Harnessing Pre-Resolution Signals for Future Prediction Agents arXiv preprint arXiv:2601.06336 , year =

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:00:56.051010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T02:01:05.101225Z digest=sha256:eb0584b6c586d6f2e043d057828abd58487373e11fb77816af310bda955d31a2

Observation 2e2362d7-6be6-43d1-ade5-0b28463ed651 · outbound

This paper cites Voyager: An Open-Ended Embodied Agent with Large Language Models.

Harnessing Pre-Resolution Signals for Future Prediction Agents Voyager: An Open-Ended Embodied Agent with Large Language Models

Reference 10

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T04:00:56.047092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T02:01:05.101225Z digest=sha256:3f8554d9af2e532c06f22d3b6d7231cc6f7f5693a6d8589c257f4e092c41470a

Observation f4637a3c-2aa2-4547-9e0a-55648a5e2db8 · outbound

This paper cites A-MEM: Agentic Memory for LLM Agents.

Harnessing Pre-Resolution Signals for Future Prediction Agents A-MEM: Agentic Memory for LLM Agents

Reference 11

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T04:00:56.077200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T02:01:05.101225Z digest=sha256:29231caf9f43dd5677cc459f75ed51b66341cbd1fbd9de6cc66d4136f50b55bc

Observation 82041356-2611-43d1-a9eb-832c44ef5586 · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

Harnessing Pre-Resolution Signals for Future Prediction Agents ReAct: Synergizing Reasoning and Acting in Language Models

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-05-11T04:00:56.104924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T02:01:05.101225Z digest=sha256:525a8f5221cb2b3750951cd993f1be6fafb97bdc2f1cf5e5d000416590933285

Observation 556baddc-4576-4710-9977-bf4e6dec3c1d · outbound

This paper cites FutureX: An Advanced Live Benchmark for LLM Agents in Future Prediction.

Harnessing Pre-Resolution Signals for Future Prediction Agents FutureX: An Advanced Live Benchmark for LLM Agents in Future Prediction

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T04:00:56.119896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T02:01:05.101225Z digest=sha256:369f748d9fd7756b1c3ca10eb9d562b22cd26023872ead414df47f36eaf4e97d

Observation 757054d3-b454-4fab-bedb-9202e76c6e16 · outbound

This paper cites MemEvolve: Meta-Evolution of Agent Memory Systems.

Harnessing Pre-Resolution Signals for Future Prediction Agents MemEvolve: Meta-Evolution of Agent Memory Systems

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T22:18:15.377574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T02:01:05.101225Z digest=sha256:10b8bae688beee5351bd6267614257d3892f5870f82ca09ac583bd1e5eca97b4

Observation 06bf56e0-e30a-4b88-ba1f-dc86caafaf07 · outbound

This paper cites ExpeL: LLM Agents Are Experiential Learners.

Harnessing Pre-Resolution Signals for Future Prediction Agents ExpeL: LLM Agents Are Experiential Learners

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T04:00:56.085686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T02:01:05.101225Z digest=sha256:6957c307b4f141597b9d1221c8d9191442a4b618d6552802f8b6bc54e732fb35

Observation c5d743f5-ee4d-4b41-9d3f-7c465d013b39 · outbound

This paper cites Forecasting Future World Events with Neural Networks.

Harnessing Pre-Resolution Signals for Future Prediction Agents Forecasting Future World Events with Neural Networks

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:00:56.111332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T02:01:05.101225Z digest=sha256:7b51759ac9ff8bec1987938fcb6c24e444c190a1e3b63110fe783a4107170f28

Pith citing papers

No inbound Pith citation observations are available.