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Paper Citation Record · LEDGER

Naamah: A Large Scale Synthetic Sanskrit NER Corpus via DBpedia Seeding and LLM Generation

As of 6 August 2026, this Paper Citation Record lists 9 of 9 outbound references and 0 inbound Pith citation observations for arXiv:2604.26456.

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

pith.paper-citation-record.v1
2604.26456 v1

Coverage vector

measured 9 of 9 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-07T11:24:10.104250Z

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+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

9 of 9 outbound references displayed

  • verified exact1
  • verified fuzzy6
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4c91aa33-21b8-48e5-abc5-3028ceb75bae · outbound

This paper cites Bhargava and P.

Naamah: A Large Scale Synthetic Sanskrit NER Corpus via DBpedia Seeding and LLM Generation Bhargava and P

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T07:08:53.454700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T11:24:10.104250Z digest=sha256:2c75078d326fb69f3ecf5c6d391b83aad73f89ca6c572f129bb7712de5104d74

Observation 4148b12a-ae2c-46c5-a57d-584930e41ce3 · outbound

This paper cites IndoWordNet.

Naamah: A Large Scale Synthetic Sanskrit NER Corpus via DBpedia Seeding and LLM Generation IndoWordNet

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T07:08:53.443825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T11:24:10.104250Z digest=sha256:dfdca337e063b6d0948ae43db68c21aae9e1bb0b73ddb733445855ffea8b7c73

Observation ae523524-d1b6-4969-b4c3-090575957b6b · outbound

This paper cites DAGA: Data augmentation with a generation approach for low-resource tagging tasks.

Naamah: A Large Scale Synthetic Sanskrit NER Corpus via DBpedia Seeding and LLM Generation DAGA: Data augmentation with a generation approach for low-resource tagging tasks

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T07:08:53.448786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T11:24:10.104250Z digest=sha256:699923cf17d43d26a5a7221b868dddaf5f202b4f3cffe1b3f6f09634e03f4304

Observation 7c96b143-9a1b-4bcd-b55d-ba9acb3f92f3 · outbound

This paper cites Design and analysis of a Sanskrit sandhi splitter.

Naamah: A Large Scale Synthetic Sanskrit NER Corpus via DBpedia Seeding and LLM Generation Design and analysis of a Sanskrit sandhi splitter

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T07:08:53.457939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T11:24:10.104250Z digest=sha256:b7c2f5fbe41a0544b9d148f999875a9112df21c92f2b7882f1e7958c4b88abad

Observation a6e5f001-7a02-4beb-9be1-7b3325da1d17 · outbound

This paper cites DCS - the Digital Corpus of Sanskrit.

Naamah: A Large Scale Synthetic Sanskrit NER Corpus via DBpedia Seeding and LLM Generation DCS - the Digital Corpus of Sanskrit

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T07:08:53.450544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T11:24:10.104250Z digest=sha256:664d2d82ece80ca6562e6185f723751ab42d57dde2f381f684dfa4bab2c2ad22

Observation 2291f703-eb43-48ea-99dc-4b60acd7ee44 · outbound

This paper cites Sanskrit segmentation with LSTM networks.

Naamah: A Large Scale Synthetic Sanskrit NER Corpus via DBpedia Seeding and LLM Generation Sanskrit segmentation with LSTM networks

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T07:08:53.462476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T11:24:10.104250Z digest=sha256:89cba4235ec32bc43d6d3e3f6a197ed546f43c45d6e7d64c3b7d7fe53128d45f

Observation 97cd9da1-3574-4e9b-81f1-cc4a2a0c4441 · outbound

This paper cites an unresolved cited work.

Naamah: A Large Scale Synthetic Sanskrit NER Corpus via DBpedia Seeding and LLM Generation Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-05-27T07:08:53.447388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T11:24:10.104250Z digest=sha256:7572ce488f22e4bc4cb934bc0f40205a3e0a7d3dd0456ab36d4df550c56fbd50

Observation 5221d6a8-a91d-49ef-8811-bc98009299e9 · outbound

This paper cites an unresolved cited work.

Naamah: A Large Scale Synthetic Sanskrit NER Corpus via DBpedia Seeding and LLM Generation Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-05-27T07:08:53.465625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T11:24:10.104250Z digest=sha256:6422ae82f0e35bdabb8aceaf1d1a959bb2b46e3dea70265f09c419a19e4833c0

Observation df173ea2-3a7e-4af5-abae-096ae5979e0f · outbound

This paper cites GPT-NER: Named Entity Recognition via Large Language Models.

Naamah: A Large Scale Synthetic Sanskrit NER Corpus via DBpedia Seeding and LLM Generation GPT-NER: Named Entity Recognition via Large Language Models

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:21:25.606391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T11:24:10.104250Z digest=sha256:c9c5009baec085dd2c19a2fdcb7a6c265ddb861180dedfce97094ee6dad268ee

Pith citing papers

No inbound Pith citation observations are available.