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Paper Citation Record · LEDGER

SANTLR: Speech Annotation Toolkit for Low Resource Languages

As of 18 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:1908.01067.

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

pith.paper-citation-record.v1
1908.01067 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:27:19.370288Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

12 of 12 outbound references displayed

  • verified exact1
  • verified fuzzy8
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3a4a3f25-c90d-4196-992c-3d92cff292c6 · outbound

This paper cites an unresolved cited work.

SANTLR: Speech Annotation Toolkit for Low Resource Languages Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-14T15:27:19.543579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T15:27:19.325069Z digest=sha256:de0050060d721efa56794c46c27fbb67de7a650d848eaa81e8b8c388e347ec6c

Observation 251b6c01-6bb6-40dc-92b8-6eb336968de7 · outbound

This paper cites We d e- signed our user interface so that it is easy to use for both re- searchers and annotators.

SANTLR: Speech Annotation Toolkit for Low Resource Languages We d e- signed our user interface so that it is easy to use for both re- searchers and annotators

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:27:19.531452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T15:27:19.329515Z digest=sha256:213f963c228c48de27fbfffcb76181545ff289f3b0e688006dfdd707ab560730

Observation 6f23e6b2-35c6-4cdd-ad8c-e5a4158da0fc · outbound

This paper cites an unresolved cited work.

SANTLR: Speech Annotation Toolkit for Low Resource Languages Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-14T15:27:19.519154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T15:27:19.333243Z digest=sha256:7ff8818cc95014e62e66103ce90f2e4d7c39a8d941f6e84e5302e9163aaf565b

Observation 96dbffdb-3a05-4309-8c0e-ac7054e54208 · outbound

This paper cites It was actually deployed to collect speech training data from multiple native speakers for seve ral languages, as shown in Table 1.

SANTLR: Speech Annotation Toolkit for Low Resource Languages It was actually deployed to collect speech training data from multiple native speakers for seve ral languages, as shown in Table 1

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:27:19.507960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T15:27:19.337688Z digest=sha256:42a52a5ea971c4710b2f236b96ff16d16c67a4817648900de460658bdc4dfc2b

Observation fb4a3eb2-07c6-430c-827a-74e77b1902e9 · outbound

This paper cites We describe the most important aspects of the user interface, a nd the ranking strategy, to allow for efficient annotation.

SANTLR: Speech Annotation Toolkit for Low Resource Languages We describe the most important aspects of the user interface, a nd the ranking strategy, to allow for efficient annotation

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:27:19.496273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T15:27:19.342149Z digest=sha256:7bd663ceeb362a78325fafd513476de98a525a1ca8958165ad4c5b9e101c7eb0

Observation f902c362-67e8-4b49-9c05-f7698eef5c51 · outbound

This paper cites HR0011-15-C-0114.

SANTLR: Speech Annotation Toolkit for Low Resource Languages HR0011-15-C-0114

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:27:19.483959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T15:27:19.346059Z digest=sha256:d028f16eea6a4313eae97e94b042ded7e1c31d03075ade0507f57135e69e548a

Observation 44a1711e-7708-4713-a232-fd23750c9683 · outbound

This paper cites Achieving human parity in conversation al speech recognition,.

SANTLR: Speech Annotation Toolkit for Low Resource Languages Achieving human parity in conversation al speech recognition,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:27:19.472001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T15:27:19.349857Z digest=sha256:7baf327a71df5046c36acc70ac61a7fdd00164329ab0ae2ffa3656a9ac94d304

Observation 4be8a58d-3569-4988-80d3-48ff055e2bbb · outbound

This paper cites an unresolved cited work.

SANTLR: Speech Annotation Toolkit for Low Resource Languages Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-14T15:27:19.459355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T15:27:19.354267Z digest=sha256:76835ee5734929fbf604bb35726bb55e636b2ebe4a6d9a432480fb617d4bfc1b

Observation e81c01f0-dd4a-4f46-ba3c-76f80f1e9a9f · outbound

This paper cites Spice: Web-based tools for rapid language adaptation in sp eech processing systems,.

SANTLR: Speech Annotation Toolkit for Low Resource Languages Spice: Web-based tools for rapid language adaptation in sp eech processing systems,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:27:19.447010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T15:27:19.358052Z digest=sha256:9bc3fe6cd727a71fb3a18ff7ec049a9d18c115183a6959b16129065cc08ecb0b

Observation 90412d99-a5c5-48aa-b728-a776b00730f4 · outbound

This paper cites The ARIEL-CMU Systems for LoReHLT18.

SANTLR: Speech Annotation Toolkit for Low Resource Languages The ARIEL-CMU Systems for LoReHLT18

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-14T15:27:19.406293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T15:27:19.361778Z digest=sha256:5c930ec4a0b4b4dbec2f5f258283e1cfe3a280d61664987248423c6a603f182f

Observation 97e7fc8c-78b1-40fd-8f12-49abf16d4fd6 · outbound

This paper cites Deep speech 2: End-to-end speech recognition in english an d mandarin,.

SANTLR: Speech Annotation Toolkit for Low Resource Languages Deep speech 2: End-to-end speech recognition in english an d mandarin,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:27:19.433985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T15:27:19.366670Z digest=sha256:56101b2a298b7cba7b2d054b9b9f626bad3755ac34fb39216bdf1c518936416f

Observation 07824f4a-e04d-4198-a1e2-11fa8ba46c1a · outbound

This paper cites Eesen: End-to-end sp eech recognition using deep rnn models and wfst-based decoding,.

SANTLR: Speech Annotation Toolkit for Low Resource Languages Eesen: End-to-end sp eech recognition using deep rnn models and wfst-based decoding,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:27:19.421234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T15:27:19.370288Z digest=sha256:fccd049275a09fae8b370e85a79a6260dea6b981c43097b750f503b469806183

Pith citing papers

No inbound Pith citation observations are available.