Paper Citation Record · LEDGER

Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training

As of 21 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2505.12236.

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

pith.paper-citation-record.v1
2505.12236 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:41:32.669895Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

42 of 42 outbound references displayed

verified exact0
verified fuzzy32
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a7ad0da4-988c-43d5-a401-fa680422046d · outbound

This paper cites GPT-4 Technical Report.

Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T20:41:32.482317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5388780b-d99b-4ad2-9aa1-b70921da5995 · outbound

This paper cites Tacred revisited: A thorough evaluation of the tacred relation extraction task.

Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training Tacred revisited: A thorough evaluation of the tacred relation extraction task

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:41:33.326306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5e266ea1-5516-425b-bd9d-3d42e01eb2f8 · outbound

This paper cites Do not have enough data? deep learning to the rescue! In Proceedings of the AAAI conference on artificial intelligence , volume 34, pages 7383--7390, 2020.

Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training Do not have enough data? deep learning to the rescue! In Proceedings of the AAAI conference on artificial intelligence , volume 34, pages 7383--7390, 2020

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:41:33.314635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6db7d3f8-cb04-4e5f-88b3-b1d04e7947b7 · outbound

This paper cites Knowprompt: Knowledge-aware prompt-tuning with synergistic optimization for relation extraction.

Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training Knowprompt: Knowledge-aware prompt-tuning with synergistic optimization for relation extraction

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:41:33.302299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9c323b48-e0a9-4164-b701-898e2c11d28c · outbound

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

Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:41:33.281769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b0f6a252-f679-4e6e-b2e0-c139d10096c2 · outbound

This paper cites Making pre-trained language models better few-shot learners.

Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training Making pre-trained language models better few-shot learners

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:41:33.265341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 08709860-b893-4113-8f8a-e797cc781d97 · outbound

This paper cites Baner: Boundary-aware llms for few-shot named entity recognition.

Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training Baner: Boundary-aware llms for few-shot named entity recognition

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:41:33.252193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a4cde030-f00c-47de-87b6-5c27200e10b4 · outbound

This paper cites Generative prompt tuning for relation classification.

Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training Generative prompt tuning for relation classification

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:41:33.237334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation aec73399-dc42-4432-835c-e786217b6736 · outbound

This paper cites Semeval-2010 task 8: Multi-way classification of semantic relations between pairs of nominals.

Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training Semeval-2010 task 8: Multi-way classification of semantic relations between pairs of nominals

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:41:33.223859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d83299cd-ec10-499a-8dbf-d9cbc651e715 · outbound

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

Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training Tinybert: Distilling bert for natural language understanding

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:41:33.210602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9121203e-f857-4f20-a08e-04b4ebb2dddf · outbound

This paper cites Fastre: Towards fast relation extraction with convolutional encoder and improved cascade binary tagging framework.

Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training Fastre: Towards fast relation extraction with convolutional encoder and improved cascade binary tagging framework

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:41:33.198167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9390e544-8f24-4335-b267-82a8a7e9562e · outbound

This paper cites Synthetic data generation with large language models for text classification: Potential and limitations.

Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training Synthetic data generation with large language models for text classification: Potential and limitations

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:41:33.184343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b66aa6b5-f0fe-49ca-b193-18a11122c32d · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T20:41:32.543694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 638e9f0a-ab77-47e5-af95-14a8d27cf79e · outbound

This paper cites Crossner: Evaluating cross-domain named entity recognition.

Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training Crossner: Evaluating cross-domain named entity recognition

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:41:33.168475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d224fb77-0675-4ea0-8bbd-6459edd363cf · outbound

This paper cites Decoupled Weight Decay Regularization.

Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training Decoupled Weight Decay Regularization

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T20:41:32.550799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92678495-e63c-47a7-adf6-24e996ac812e · outbound

This paper cites Distant supervision for relation extraction without labeled data.

Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training Distant supervision for relation extraction without labeled data

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T20:41:32.554678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24c152ba-1d1d-48c2-bd94-091535667af6 · outbound

This paper cites Training language models to follow instructions with human feedback.

Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training Training language models to follow instructions with human feedback

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T20:41:32.558619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20b0226f-5641-4b75-86e5-0d303036dff3 · outbound

This paper cites Learning from context or names? an empirical study on neural relation extraction.

Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training Learning from context or names? an empirical study on neural relation extraction

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:41:33.133761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c1528e61-99bf-4bc9-b5e9-12711c491a95 · outbound

This paper cites Erica: Improving entity and relation understanding for pre-trained language models via contrastive learning.

Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training Erica: Improving entity and relation understanding for pre-trained language models via contrastive learning

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:41:33.122280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 63670815-d506-48be-97db-34123fa329ef · outbound

This paper cites Exploiting cloze-questions for few-shot text classification and natural language inference.

Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training Exploiting cloze-questions for few-shot text classification and natural language inference

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:41:33.109631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4059e74e-d80b-4a7f-823b-460b940c2d80 · outbound

This paper cites Matching the blanks: Distributional similarity for relation learning.

Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training Matching the blanks: Distributional similarity for relation learning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:41:33.098676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f476f6b9-89a1-4ded-a2b4-df5c7f3a09c4 · outbound

This paper cites Learning from noisy labels with deep neural networks: A survey.

Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training Learning from noisy labels with deep neural networks: A survey

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:41:33.086534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c3fbea14-f895-4209-af86-122a40793563 · outbound

This paper cites Re-tacred: Addressing shortcomings of the tacred dataset.

Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training Re-tacred: Addressing shortcomings of the tacred dataset

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:41:33.071702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bcda6d3e-0bf0-4b3a-b3af-6dc064dccffc · outbound

This paper cites Qwen2.5 Technical Report.

Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training Qwen2.5 Technical Report

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T20:41:32.598407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 566b3abb-fa33-4661-a8c7-1c1ec2ef9275 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T20:41:32.603348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61aab359-1c97-437c-8201-54fbae1f0e57 · outbound

This paper cites Wikidata: a free collaborative knowledgebase.

Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training Wikidata: a free collaborative knowledgebase

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:41:33.056586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 03e090ff-5a0a-41c1-85e7-f63f60b01c8c · outbound

This paper cites Strata: Self-training with task augmentation for better few-shot learning.

Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training Strata: Self-training with task augmentation for better few-shot learning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:41:33.041229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6707a95f-6bd6-488b-aa50-ab00c06b6598 · outbound

This paper cites Pascore: a chinese overlapping relation extraction model based on global pointer annotation strategy.

Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training Pascore: a chinese overlapping relation extraction model based on global pointer annotation strategy

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:41:33.025775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 95ef505e-8610-4126-a3d2-6195d95f47de · outbound

This paper cites InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction.

Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T20:41:32.620816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db6512ee-894f-4c63-bfc8-8fd27cd83bd4 · outbound

This paper cites Eda: Easy data augmentation techniques for boosting performance on text classification tasks.

Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training Eda: Easy data augmentation techniques for boosting performance on text classification tasks

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:41:33.009730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 89d4c53d-c8dd-4026-b5a5-06dce3b0d859 · outbound

This paper cites A novel cascade binary tagging framework for relational triple extraction.

Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training A novel cascade binary tagging framework for relational triple extraction

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:41:32.995025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d5017935-d08a-4f9d-9b22-fb7e45f07545 · outbound

This paper cites Llm-powered data augmentation for enhanced cross-lingual performance.

Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training Llm-powered data augmentation for enhanced cross-lingual performance

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:41:32.978019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4bf05d2b-8f68-43b4-b2ed-69eca8fea690 · outbound

This paper cites S2ynre: Two-stage self-training with synthetic data for low-resource relation extraction.

Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training S2ynre: Two-stage self-training with synthetic data for low-resource relation extraction

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:41:32.959362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fb545545-ed51-4156-accd-65586ef3afe7 · outbound

This paper cites an unresolved cited work.

Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:41:32.944237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d3cf19fa-c897-46f3-b6ed-af4ef50b6558 · outbound

This paper cites Harnessing the power of llms in practice: A survey on chatgpt and beyond.

Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training Harnessing the power of llms in practice: A survey on chatgpt and beyond

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:41:32.931347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 37bfeaa4-736a-49f4-ad44-7962e35517c2 · outbound

This paper cites Tpn: Transferable proto-learning network towards few-shot document-level relation extraction.

Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training Tpn: Transferable proto-learning network towards few-shot document-level relation extraction

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:41:32.917848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b32b5fca-2e7f-4d27-ac0a-d5867986fa9c · outbound

This paper cites Position-aware attention and supervised data improve slot filling.

Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training Position-aware attention and supervised data improve slot filling

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:41:32.901693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b0086630-57fc-441a-b1bc-4684b65a8205 · outbound

This paper cites Cross-domain ner with generated task-oriented knowledge: An empirical study from information density perspective.

Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training Cross-domain ner with generated task-oriented knowledge: An empirical study from information density perspective

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:41:32.880807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a038d558-997b-4e76-9c79-ce3fe0336e18 · outbound

This paper cites Prompt tuning for few-shot relation extraction via modeling global and local graphs.

Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training Prompt tuning for few-shot relation extraction via modeling global and local graphs

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:41:32.859143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0a3ecf1b-9e79-46fa-80cb-c9ca2176b286 · outbound

This paper cites An improved baseline for sentence-level relation extraction.

Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training An improved baseline for sentence-level relation extraction

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:41:32.832172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f9d0ef9a-c30d-48b0-a79e-c9510a93e9da · outbound

This paper cites Fcds: Fusing constituency and dependency syntax into document-level relation extraction.

Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training Fcds: Fusing constituency and dependency syntax into document-level relation extraction

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:41:32.816982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9c7ae9c4-0572-4d74-990f-6e4a00fb3dfc · outbound

This paper cites write newline.

Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training write newline

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-15T20:41:32.669895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.