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Paper Citation Record · LEDGER

Bidirectional LMs are Better Knowledge Memorizers? A Benchmark for Real-world Knowledge Injection

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2505.12306.

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

pith.paper-citation-record.v1
2505.12306 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 2026-08-07T12:03:41.749831Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T18:57:16.628222Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 421897cc-4d5d-4cfe-90cd-ce34ec6505a1 · inbound

Data Swarms: Optimizable Generation of Synthetic Evaluation Data cites this paper.

Data Swarms: Optimizable Generation of Synthetic Evaluation Data Bidirectional LMs are Better Knowledge Memorizers? A Benchmark for Real-world Knowledge Injection

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-07T12:03:41.749831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:03:41.749831Z digest=sha256:7fd1e51db040d378ad0df2d2b56314c2723e717945faaf6536934d7dc949017f

Observation 449f0950-8d7e-492e-83ff-8a634ff24ac2 · inbound

Generalizable LLM Learning of Graph Synthetic Data with Post-training Alignment cites this paper.

Generalizable LLM Learning of Graph Synthetic Data with Post-training Alignment Bidirectional LMs are Better Knowledge Memorizers? A Benchmark for Real-world Knowledge Injection

Reference 101

Resolution
unresolved
no resolver link, observed 2026-08-07T12:02:48.163552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:02:48.163552Z digest=sha256:efdbc0d0076dc9d3fd640c55aa6493cbdc0a6ed9890c57f0c0a10d78881511f5

Observation e87368b9-a753-4272-9b55-56a27d278a73 · inbound

MoCo: A One-Stop Shop for Model Collaboration Research cites this paper.

MoCo: A One-Stop Shop for Model Collaboration Research Bidirectional LMs are Better Knowledge Memorizers? A Benchmark for Real-world Knowledge Injection

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-16T10:17:43.741189Z

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=2026-05-16T10:17:37.129753Z digest=sha256:081c1de847fa1b902c002e0726f5d398cada2d7d540a25147e7d29beac012ad4

Observation 90278eb6-60ff-452f-adab-f7055f795912 · inbound

Scaling Participation in Modular AI Systems cites this paper.

Scaling Participation in Modular AI Systems Bidirectional LMs are Better Knowledge Memorizers? A Benchmark for Real-world Knowledge Injection

Reference 33

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T18:57:16.630797Z

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=2026-06-27T21:49:27.042616Z digest=sha256:60f804e89bd3da07561e384fe7023712ea40f534e2e123d5f32c1c10a353fb5c

Observation 19d373f5-96d7-4c5b-b46a-709c2f9eccb1 · inbound

RING: Retrieval-Internalized Generation for Continual Large-Scale Knowledge Injection cites this paper.

RING: Retrieval-Internalized Generation for Continual Large-Scale Knowledge Injection Bidirectional LMs are Better Knowledge Memorizers? A Benchmark for Real-world Knowledge Injection

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-04T23:56:14.892766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:56:14.892766Z digest=sha256:bcdedf7b56a0f869c8ee34bc75d235e174212adf27fd77a999e5a3f368f21618