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Paper Citation Record · LEDGER

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering

As of 12 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 1 inbound Pith citation observation for arXiv:2502.03992.

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

pith.paper-citation-record.v1
2502.03992 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:00:06.917137Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:26:34.180935Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T00:26:34.249397Z

Reference resolution

37 of 37 outbound references displayed

  • verified exact2
  • verified fuzzy34
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0181ecc9-a31f-445a-8d5f-006a561d3594 · outbound

This paper cites Leveraging Abstract Meaning Representation for knowledge base question answering,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Leveraging Abstract Meaning Representation for knowledge base question answering,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.476306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T00:00:06.754505Z digest=sha256:318bafc7331555148e9c5cf96b53f1508353e9d5b74ebff6784fd6e5f72a5cc1

Observation e9a993e0-20f9-4e4a-81b8-d909d251190a · outbound

This paper cites Natural language question answering over rdf: a graph data driven approach,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Natural language question answering over rdf: a graph data driven approach,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.462544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T00:00:06.759789Z digest=sha256:d56df378d9280b98189e42b212abf9f6c0ace3647024acf2e04eaafbf8c9431f

Observation 19777f11-b9a7-4877-b572-7054f7462ae1 · outbound

This paper cites Message passing for complex question answering over knowledge graphs,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Message passing for complex question answering over knowledge graphs,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.447725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T00:00:06.764506Z digest=sha256:d20302a974c2f5c51aba3624bbf70e416836e175af3b92d6f7bedebf97334319

Observation e4c5a07a-04a7-4c30-9174-ee7395b2490c · outbound

This paper cites Beyond i.i.d.: Three levels of generalization for question answering on knowledge bases,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Beyond i.i.d.: Three levels of generalization for question answering on knowledge bases,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.434036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T00:00:06.769219Z digest=sha256:3262e19a37f32b298224ec87e8e07a3d43adc259057a764cb7ac6f8390ac0e84

Observation 8c4f8282-e15f-4eca-a2e2-cffe03c3f3bf · outbound

This paper cites Don’t generate, discriminate: A proposal for grounding language models to real-world environments,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Don’t generate, discriminate: A proposal for grounding language models to real-world environments,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.419989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T00:00:06.774040Z digest=sha256:6bf076bba814fb86dc54d6619a585eb0809607c0ff52180130d624016a44ad64

Observation 154aae05-13f5-4cf4-9954-f2f3c980c069 · outbound

This paper cites Distribution shifts are bottlenecks: Extensive evalua- tion for grounding language models to knowledge bases,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Distribution shifts are bottlenecks: Extensive evalua- tion for grounding language models to knowledge bases,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.405396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T00:00:06.778661Z digest=sha256:635fd99d1a499c952cc9cb4a0fcd7151cdd787d6b80ade1065ca570dcae76cff

Observation b2eca9cc-3029-4ec2-b1cd-82a431318b15 · outbound

This paper cites Open domain question answering using early fusion of knowledge bases and text,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Open domain question answering using early fusion of knowledge bases and text,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.391215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T00:00:06.783587Z digest=sha256:c63e27a441cf33e472a7f0ccb452f9d007ae42fc5d631977e28fb0be434b3200

Observation 3c6c35bf-acb1-4f4a-90d0-ecadafa5883b · outbound

This paper cites Improving multi-hop question answering over knowledge graphs using knowledge base embeddings,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Improving multi-hop question answering over knowledge graphs using knowledge base embeddings,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.377033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T00:00:06.787920Z digest=sha256:b9010f47f3239b209afe2d0eebcd63d44d5b61e5e52089f5de70f2bb093e309a

Observation c3fc156a-039d-4605-9d8b-26da2eb54d3f · outbound

This paper cites Exploiting hybrid semantics of relation paths for multi-hop question answering over knowledge graphs,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Exploiting hybrid semantics of relation paths for multi-hop question answering over knowledge graphs,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.363219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T00:00:06.792283Z digest=sha256:a1792ae27f50695c2e22b3f8d953d62d286baefc1e84ff6a8c79eea76beebc92

Observation d844ff43-500e-4398-afe8-2befd6aa30d0 · outbound

This paper cites ReaRev: Adaptive reasoning for ques- tion answering over knowledge graphs,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering ReaRev: Adaptive reasoning for ques- tion answering over knowledge graphs,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.349166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T00:00:06.796449Z digest=sha256:262bfb30d76983c66d23acf7cd5177efd05d726d5e106f3cbf1ffa2c6dafabbb

Observation 151b6ef3-52ce-4180-bf05-a2ae2b44b099 · outbound

This paper cites Free- base: a collaboratively created graph database for structuring human knowledge,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Free- base: a collaboratively created graph database for structuring human knowledge,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.335566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T00:00:06.800712Z digest=sha256:7c04f4183a7fdef4fcea0714526245eda6347dd53668cbf9dd14ae9f21a7f245

Observation 246f42fe-55e2-4734-87b9-39ee05545ddb · outbound

This paper cites Variational reasoning for question answering with knowledge graph,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Variational reasoning for question answering with knowledge graph,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.322575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T00:00:06.805101Z digest=sha256:ed6ff5f869cbbfa388773a340c8aa12e8848493320e4f7bc9e59b6296bcef6a9

Observation 6864c7c7-5718-44c2-81bb-1dd430a1cca8 · outbound

This paper cites An Empirical Study of Pre-trained Language Models in Simple Knowledge Graph Question Answering.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering An Empirical Study of Pre-trained Language Models in Simple Knowledge Graph Question Answering

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-09T00:00:06.997441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T00:00:06.809663Z digest=sha256:61ddbb24ffecf96993b7f2674a0f45f45828b746fa1311c9e3c1be6067ee1bec

Observation e74f496c-0c35-4dba-9993-e6b7eaddf5fb · outbound

This paper cites Can ChatGPT Replace Traditional KBQA Models? An In-depth Analysis of the Question Answering Performance of the GPT LLM Family.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Can ChatGPT Replace Traditional KBQA Models? An In-depth Analysis of the Question Answering Performance of the GPT LLM Family

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-09T00:00:06.975880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T00:00:06.814390Z digest=sha256:1e54ce42fbb8bcc9ac55f11d3b1c7342ff284a54daaabf4f5ee3d6ce6bc7c537

Observation ef25bd33-1811-42b0-b6e7-f2404930a6ff · outbound

This paper cites Retrieve-Rewrite-Answer: A KG-to-Text Enhanced LLMs Framework for Knowledge Graph Question Answering.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Retrieve-Rewrite-Answer: A KG-to-Text Enhanced LLMs Framework for Knowledge Graph Question Answering

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-09T00:00:06.819099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T00:00:06.819099Z digest=sha256:882b70ece50f311e1cbb9d3ac081de61918da608b2f8265662de15d54983dac2

Observation 40da1afd-4dea-4680-984d-1ea5bcbf41b8 · outbound

This paper cites Survey of hallucination in natural language generation,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Survey of hallucination in natural language generation,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.309415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T00:00:06.823994Z digest=sha256:5fa8edc435b9cb0766ea5e9f5efa0bb0937a13c8fa40298d0cf3c9710f43e368

Observation 59b4f898-413f-43bb-a8ec-b5aedc977b53 · outbound

This paper cites Is GPT fit for kgqa? - preliminary results,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Is GPT fit for kgqa? - preliminary results,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.295636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T00:00:06.828425Z digest=sha256:d1727c317af0d7f05c6f0240a18dac08df0e1eb5b39a41f8a6602b89c0face30

Observation 1714bfc5-e681-47a7-ab27-53287857c96f · outbound

This paper cites A two-stage approach towards generalization in knowledge base question answering,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering A two-stage approach towards generalization in knowledge base question answering,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.282452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T00:00:06.832713Z digest=sha256:5268ae7bb65a1c6a915b8e04c971c2113380325260a00356d65da8007ed35bba

Observation 7ab9cce0-8b41-4921-87c0-b46d3e118e49 · outbound

This paper cites Few- shot text-to-sql translation using structure and content prompt learning,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Few- shot text-to-sql translation using structure and content prompt learning,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.268872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T00:00:06.837203Z digest=sha256:ef1dda2f4c9598e2e04870217634a1cf1ec50ab89b6ecfeabd692a3d776ef4f9

Observation 2b948674-94b2-49b1-82a6-859e7cdc77db · outbound

This paper cites Dbpedia: A nucleus for a web of open data,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Dbpedia: A nucleus for a web of open data,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.255263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T00:00:06.841788Z digest=sha256:094d2039a24e42cbbd6bebf3398530d769d947251b9a47691b803353ccd79be0

Observation 8285c5a7-e5f3-4c50-853c-3cad4bf8dc45 · outbound

This paper cites Dblp-quad: A question answering dataset over the DBLP scholarly knowledge graph,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Dblp-quad: A question answering dataset over the DBLP scholarly knowledge graph,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.241455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T00:00:06.846475Z digest=sha256:3eca40daae32142a1608d03317909e585c3a9fb2b7e176637887d9603f1e5341

Observation 79ed1569-1b1a-4a5c-b513-45b31e273359 · outbound

This paper cites A structure and content prompt- based method for knowledge graph question answering over scholarly data,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering A structure and content prompt- based method for knowledge graph question answering over scholarly data,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.227572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T00:00:06.850819Z digest=sha256:282482a57b0323368066e55ba07dcff554036e1d3e3741385ec8f20b84d3b146

Observation 173b27e9-23d6-4c66-8d07-a033b18e1328 · outbound

This paper cites Text2kgbench: A benchmark for ontology-driven knowledge graph generation from text,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Text2kgbench: A benchmark for ontology-driven knowledge graph generation from text,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.214230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T00:00:06.855503Z digest=sha256:449085a5a08e7c61fbe1d967062b142505844ba2125825b916cdb3d9c762f23b

Observation d46be300-ddd9-4022-8391-025f09bc496f · outbound

This paper cites Compositional generalization via semantic tagging,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Compositional generalization via semantic tagging,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.200587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T00:00:06.859979Z digest=sha256:ea8800d40cd02e09159da328266c3514430e9bb3ce70d63852723e45651af0f8

Observation 0115712a-ce73-4d0b-889f-25e2acef50b2 · outbound

This paper cites Machine translation decoding beyond beam search,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Machine translation decoding beyond beam search,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.186207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T00:00:06.864383Z digest=sha256:c087608596f23ea3b2576060e869d96328b598af55bc5e08b0528c8a6059fb9f

Observation 4027167c-a146-4045-ba4c-889473fd7dd1 · outbound

This paper cites Controllable abstractive summa- rization,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Controllable abstractive summa- rization,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.172335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T00:00:06.868742Z digest=sha256:abbc14ee54cf435e70e3b6c968135ce9a170800b8ff462f5bb1dec520f17d1df

Observation 4e9779a7-73d3-43b0-bfab-1339a6ead274 · outbound

This paper cites Grammar-constrained neural semantic parsing with LR parsers,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Grammar-constrained neural semantic parsing with LR parsers,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.158550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T00:00:06.873348Z digest=sha256:91effc5352117481b745234eff0c60b10fa66f3f7182be7566f900ef1f10ae1c

Observation 2aed3a48-1192-465d-8a9c-3fc8a18edfb5 · outbound

This paper cites Grammar-constrained decoding for structured NLP tasks without finetuning,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Grammar-constrained decoding for structured NLP tasks without finetuning,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.144795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T00:00:06.877768Z digest=sha256:d17bed658533934bbf347b4d4f65ab0993aebb7548aea8c74e6e67a7de4aade7

Observation f3cc0d1d-6595-4f66-bb96-35509cea9c65 · outbound

This paper cites Subgraph retrieval enhanced model for multi-hop knowledge base question answering,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Subgraph retrieval enhanced model for multi-hop knowledge base question answering,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.131153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T00:00:06.882285Z digest=sha256:09a2ff4365dd5204c11b2897fcb47af8d1c59f80fc0ffd934ec8817f7929ff8e

Observation 5112e1ed-4e88-4e4f-947c-6643021cd333 · outbound

This paper cites ReasoningLM: En- abling structural subgraph reasoning in pre-trained language models for question answering over knowledge graph,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering ReasoningLM: En- abling structural subgraph reasoning in pre-trained language models for question answering over knowledge graph,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.117180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T00:00:06.886565Z digest=sha256:23704530fc272f90e3921488ff400a71abc6c3cde484b6ebcb1670b4999516d3

Observation b1d3785d-3140-40d4-af99-0a87671ba576 · outbound

This paper cites PullNet: Open domain question answering with iterative retrieval on knowledge bases and text,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering PullNet: Open domain question answering with iterative retrieval on knowledge bases and text,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.103267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T00:00:06.890894Z digest=sha256:885fca4b36c4cf0eccd399e1fde64885558c1348e61e05a3b74fd42b8df8568e

Observation ac6b058e-f57c-4294-8d2f-69e9a8141c5e · outbound

This paper cites Outlining and filling: Hierarchical query graph generation for answering complex questions over knowledge graphs,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Outlining and filling: Hierarchical query graph generation for answering complex questions over knowledge graphs,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.089296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T00:00:06.895182Z digest=sha256:422a66e3c185aecc3541f5335c59964407339fc6212a809bdb4dd4a39757c8ec

Observation 9421e2d5-4589-40fa-acb6-e6dda8ccdde3 · outbound

This paper cites LongT5: Efficient text-to-text transformer for long sequences,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering LongT5: Efficient text-to-text transformer for long sequences,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.074802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T00:00:06.899502Z digest=sha256:7ad87b810447ff20636e29aa6df70f586cd2e6ce9f8dddfda964651f666dcd24

Observation b2d0caab-f500-4a66-9bdf-b19814cb2c26 · outbound

This paper cites Subgraph retrieval enhanced model for multi-hop knowledge base question answering,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Subgraph retrieval enhanced model for multi-hop knowledge base question answering,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.059567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T00:00:06.903807Z digest=sha256:ffd225833b0ceba05c850ab1361cbe5def2a8f0cde1568c16a6cc09a76fc143f

Observation 049cc9c9-e359-46ba-917b-e687c495fbb4 · outbound

This paper cites Generating a large dataset for neural question answering over the DBpedia knowledge base,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Generating a large dataset for neural question answering over the DBpedia knowledge base,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.044140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T00:00:06.908279Z digest=sha256:8027442c6b9112ebb8a7d09caba41b133448e090a740ded27563a33346e52d5f

Observation 2787b962-4574-4335-9a2f-df067a5a457f · outbound

This paper cites Coarse-to-fine decoding for neural semantic parsing,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Coarse-to-fine decoding for neural semantic parsing,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.028500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T00:00:06.912714Z digest=sha256:f49820fc57827912e7a886796dd2eafd4624fd35dc64f35d025a3fbb379c6aa8

Observation b85a4005-e8be-4a46-9c09-c912e0bf1d50 · outbound

This paper cites Knowledge-augmented language model prompting for zero-shot knowledge graph question answering,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Knowledge-augmented language model prompting for zero-shot knowledge graph question answering,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.013373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T00:00:06.917137Z digest=sha256:2d8efe15a0f4d690b7cd07b31f8052e1899ee3d0a3f7e98399309657d3b03c05

Pith citing papers

Observation 5e31b3f7-573d-4c15-9ec2-d657abd67bb0 · inbound

Towards Researcher Agents for Knowledge-Graph Question Answering cites this paper.

Towards Researcher Agents for Knowledge-Graph Question Answering Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-11T00:26:34.255816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T00:26:34.180935Z digest=sha256:c9c44318ade6b4b606db6331d5bbb57314c65be4271cf0abfa36d0063bed14a7